Duplicate from Linzhan/UniMate

Co-authored-by: Linzhan Mou <Linzhan@users.noreply.huggingface.co>

.gitattributes

@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+teaser.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1,14 @@
+# Local-only training artifacts; kept next to each run, never uploaded
+*/logs/
+*/samples/
+*/debug/
+*/slurm_*.out
+*/slurm_*.err
+*/*.sbatch
+# The config and stats a run was trained with, where they differ from the released
+# config.json / dataset_stats.npy (v3: they include the in-house general dataset)
+*/train_config.json
+*/train_dataset_stats.npy
+# v3 runs: the 10k-90k checkpoints stay local
+unimate_uniml3d_f60_v3/checkpoints/checkpoint_step_?0000.pt
+unimate_uniml3d_f60_v3_cross_attn/checkpoints/checkpoint_step_?0000.pt

LICENSE

@@ -0,0 +1,425 @@
+UniMate pretrained checkpoints
+Copyright (c) 2026 Linzhan Mou
+
+The model weights and other files in this repository are licensed under the
+Creative Commons Attribution-NonCommercial 4.0 International License
+(CC BY-NC 4.0), reproduced below. They are released for non-commercial
+research use.
+
+This license covers only the rights of the UniMate authors. It grants no
+rights in the third-party data the models were trained on (Truebones ZOO,
+Mixamo, Objaverse-XL), which remain under their own terms; see the
+"License" section of README.md.
+
+The UniMate code (https://github.com/Friedrich-M/UniMate) is released
+separately under the MIT License.
+
+
+Attribution-NonCommercial 4.0 International
+
+=======================================================================
+
+Creative Commons Corporation ("Creative Commons") is not a law firm and
+does not provide legal services or legal advice. Distribution of
+Creative Commons public licenses does not create a lawyer-client or
+other relationship. Creative Commons makes its licenses and related
+information available on an "as-is" basis. Creative Commons gives no
+warranties regarding its licenses, any material licensed under their
+terms and conditions, or any related information. Creative Commons
+disclaims all liability for damages resulting from their use to the
+fullest extent possible.
+
+Using Creative Commons Public Licenses
+
+Creative Commons public licenses provide a standard set of terms and
+conditions that creators and other rights holders may use to share
+original works of authorship and other material subject to copyright
+and certain other rights specified in the public license below. The
+following considerations are for informational purposes only, are not
+exhaustive, and do not form part of our licenses.
+
+     Considerations for licensors: Our public licenses are
+     intended for use by those authorized to give the public
+     permission to use material in ways otherwise restricted by
+     copyright and certain other rights. Our licenses are
+     irrevocable. Licensors should read and understand the terms
+     and conditions of the license they choose before applying it.
+     Licensors should also secure all rights necessary before
+     applying our licenses so that the public can reuse the
+     material as expected. Licensors should clearly mark any
+     material not subject to the license. This includes other CC-
+     licensed material, or material used under an exception or
+     limitation to copyright. More considerations for licensors:
+    wiki.creativecommons.org/Considerations_for_licensors
+
+     Considerations for the public: By using one of our public
+     licenses, a licensor grants the public permission to use the
+     licensed material under specified terms and conditions. If
+     the licensor's permission is not necessary for any reason--for
+     example, because of any applicable exception or limitation to
+     copyright--then that use is not regulated by the license. Our
+     licenses grant only permissions under copyright and certain
+     other rights that a licensor has authority to grant. Use of
+     the licensed material may still be restricted for other
+     reasons, including because others have copyright or other
+     rights in the material. A licensor may make special requests,
+     such as asking that all changes be marked or described.
+     Although not required by our licenses, you are encouraged to
+     respect those requests where reasonable. More considerations
+     for the public:
+    wiki.creativecommons.org/Considerations_for_licensees
+
+=======================================================================
+
+Creative Commons Attribution-NonCommercial 4.0 International Public
+License
+
+By exercising the Licensed Rights (defined below), You accept and agree
+to be bound by the terms and conditions of this Creative Commons
+Attribution-NonCommercial 4.0 International Public License ("Public
+License"). To the extent this Public License may be interpreted as a
+contract, You are granted the Licensed Rights in consideration of Your
+acceptance of these terms and conditions, and the Licensor grants You
+such rights in consideration of benefits the Licensor receives from
+making the Licensed Material available under these terms and
+conditions.
+
+
+Section 1 -- Definitions.
+
+  a. Adapted Material means material subject to Copyright and Similar
+     Rights that is derived from or based upon the Licensed Material
+     and in which the Licensed Material is translated, altered,
+     arranged, transformed, or otherwise modified in a manner requiring
+     permission under the Copyright and Similar Rights held by the
+     Licensor. For purposes of this Public License, where the Licensed
+     Material is a musical work, performance, or sound recording,
+     Adapted Material is always produced where the Licensed Material is
+     synched in timed relation with a moving image.
+
+  b. Adapter's License means the license You apply to Your Copyright
+     and Similar Rights in Your contributions to Adapted Material in
+     accordance with the terms and conditions of this Public License.
+
+  c. Copyright and Similar Rights means copyright and/or similar rights
+     closely related to copyright including, without limitation,
+     performance, broadcast, sound recording, and Sui Generis Database
+     Rights, without regard to how the rights are labeled or
+     categorized. For purposes of this Public License, the rights
+     specified in Section 2(b)(1)-(2) are not Copyright and Similar
+     Rights.
+  d. Effective Technological Measures means those measures that, in the
+     absence of proper authority, may not be circumvented under laws
+     fulfilling obligations under Article 11 of the WIPO Copyright
+     Treaty adopted on December 20, 1996, and/or similar international
+     agreements.
+
+  e. Exceptions and Limitations means fair use, fair dealing, and/or
+     any other exception or limitation to Copyright and Similar Rights
+     that applies to Your use of the Licensed Material.
+
+  f. Licensed Material means the artistic or literary work, database,
+     or other material to which the Licensor applied this Public
+     License.
+
+  g. Licensed Rights means the rights granted to You subject to the
+     terms and conditions of this Public License, which are limited to
+     all Copyright and Similar Rights that apply to Your use of the
+     Licensed Material and that the Licensor has authority to license.
+
+  h. Licensor means the individual(s) or entity(ies) granting rights
+     under this Public License.
+
+  i. NonCommercial means not primarily intended for or directed towards
+     commercial advantage or monetary compensation. For purposes of
+     this Public License, the exchange of the Licensed Material for
+     other material subject to Copyright and Similar Rights by digital
+     file-sharing or similar means is NonCommercial provided there is
+     no payment of monetary compensation in connection with the
+     exchange.
+
+  j. Share means to provide material to the public by any means or
+     process that requires permission under the Licensed Rights, such
+     as reproduction, public display, public performance, distribution,
+     dissemination, communication, or importation, and to make material
+     available to the public including in ways that members of the
+     public may access the material from a place and at a time
+     individually chosen by them.
+
+  k. Sui Generis Database Rights means rights other than copyright
+     resulting from Directive 96/9/EC of the European Parliament and of
+     the Council of 11 March 1996 on the legal protection of databases,
+     as amended and/or succeeded, as well as other essentially
+     equivalent rights anywhere in the world.
+
+  l. You means the individual or entity exercising the Licensed Rights
+     under this Public License. Your has a corresponding meaning.
+
+
+Section 2 -- Scope.
+
+  a. License grant.
+
+       1. Subject to the terms and conditions of this Public License,
+          the Licensor hereby grants You a worldwide, royalty-free,
+          non-sublicensable, non-exclusive, irrevocable license to
+          exercise the Licensed Rights in the Licensed Material to:
+
+            a. reproduce and Share the Licensed Material, in whole or
+               in part, for NonCommercial purposes only; and
+
+            b. produce, reproduce, and Share Adapted Material for
+               NonCommercial purposes only.
+
+       2. Exceptions and Limitations. For the avoidance of doubt, where
+          Exceptions and Limitations apply to Your use, this Public
+          License does not apply, and You do not need to comply with
+          its terms and conditions.
+
+       3. Term. The term of this Public License is specified in Section
+          6(a).
+
+       4. Media and formats; technical modifications allowed. The
+          Licensor authorizes You to exercise the Licensed Rights in
+          all media and formats whether now known or hereafter created,
+          and to make technical modifications necessary to do so. The
+          Licensor waives and/or agrees not to assert any right or
+          authority to forbid You from making technical modifications
+          necessary to exercise the Licensed Rights, including
+          technical modifications necessary to circumvent Effective
+          Technological Measures. For purposes of this Public License,
+          simply making modifications authorized by this Section 2(a)
+          (4) never produces Adapted Material.
+
+       5. Downstream recipients.
+
+            a. Offer from the Licensor -- Licensed Material. Every
+               recipient of the Licensed Material automatically
+               receives an offer from the Licensor to exercise the
+               Licensed Rights under the terms and conditions of this
+               Public License.
+
+            b. No downstream restrictions. You may not offer or impose
+               any additional or different terms or conditions on, or
+               apply any Effective Technological Measures to, the
+               Licensed Material if doing so restricts exercise of the
+               Licensed Rights by any recipient of the Licensed
+               Material.
+
+       6. No endorsement. Nothing in this Public License constitutes or
+          may be construed as permission to assert or imply that You
+          are, or that Your use of the Licensed Material is, connected
+          with, or sponsored, endorsed, or granted official status by,
+          the Licensor or others designated to receive attribution as
+          provided in Section 3(a)(1)(A)(i).
+
+  b. Other rights.
+
+       1. Moral rights, such as the right of integrity, are not
+          licensed under this Public License, nor are publicity,
+          privacy, and/or other similar personality rights; however, to
+          the extent possible, the Licensor waives and/or agrees not to
+          assert any such rights held by the Licensor to the limited
+          extent necessary to allow You to exercise the Licensed
+          Rights, but not otherwise.
+
+       2. Patent and trademark rights are not licensed under this
+          Public License.
+
+       3. To the extent possible, the Licensor waives any right to
+          collect royalties from You for the exercise of the Licensed
+          Rights, whether directly or through a collecting society
+          under any voluntary or waivable statutory or compulsory
+          licensing scheme. In all other cases the Licensor expressly
+          reserves any right to collect such royalties, including when
+          the Licensed Material is used other than for NonCommercial
+          purposes.
+
+
+Section 3 -- License Conditions.
+
+Your exercise of the Licensed Rights is expressly made subject to the
+following conditions.
+
+  a. Attribution.
+
+       1. If You Share the Licensed Material (including in modified
+          form), You must:
+
+            a. retain the following if it is supplied by the Licensor
+               with the Licensed Material:
+
+                 i. identification of the creator(s) of the Licensed
+                    Material and any others designated to receive
+                    attribution, in any reasonable manner requested by
+                    the Licensor (including by pseudonym if
+                    designated);
+
+                ii. a copyright notice;
+
+               iii. a notice that refers to this Public License;
+
+                iv. a notice that refers to the disclaimer of
+                    warranties;
+
+                 v. a URI or hyperlink to the Licensed Material to the
+                    extent reasonably practicable;
+
+            b. indicate if You modified the Licensed Material and
+               retain an indication of any previous modifications; and
+
+            c. indicate the Licensed Material is licensed under this
+               Public License, and include the text of, or the URI or
+               hyperlink to, this Public License.
+
+       2. You may satisfy the conditions in Section 3(a)(1) in any
+          reasonable manner based on the medium, means, and context in
+          which You Share the Licensed Material. For example, it may be
+          reasonable to satisfy the conditions by providing a URI or
+          hyperlink to a resource that includes the required
+          information.
+
+       3. If requested by the Licensor, You must remove any of the
+          information required by Section 3(a)(1)(A) to the extent
+          reasonably practicable.
+
+       4. If You Share Adapted Material You produce, the Adapter's
+          License You apply must not prevent recipients of the Adapted
+          Material from complying with this Public License.
+
+
+Section 4 -- Sui Generis Database Rights.
+
+Where the Licensed Rights include Sui Generis Database Rights that
+apply to Your use of the Licensed Material:
+
+  a. for the avoidance of doubt, Section 2(a)(1) grants You the right
+     to extract, reuse, reproduce, and Share all or a substantial
+     portion of the contents of the database for NonCommercial purposes
+     only;
+
+  b. if You include all or a substantial portion of the database
+     contents in a database in which You have Sui Generis Database
+     Rights, then the database in which You have Sui Generis Database
+     Rights (but not its individual contents) is Adapted Material; and
+
+  c. You must comply with the conditions in Section 3(a) if You Share
+     all or a substantial portion of the contents of the database.
+
+For the avoidance of doubt, this Section 4 supplements and does not
+replace Your obligations under this Public License where the Licensed
+Rights include other Copyright and Similar Rights.
+
+
+Section 5 -- Disclaimer of Warranties and Limitation of Liability.
+
+  a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
+     EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
+     AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
+     ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
+     IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
+     WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR
+     PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS,
+     ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT
+     KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
+     ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
+
+  b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
+     TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
+     NEGLIGENCE) OR OTHERWISE FOR ANY DIRECT, SPECIAL, INDIRECT,
+     INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
+     COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
+     USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
+     ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
+     DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
+     IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
+
+  c. The disclaimer of warranties and limitation of liability provided
+     above shall be interpreted in a manner that, to the extent
+     possible, most closely approximates an absolute disclaimer and
+     waiver of all liability.
+
+
+Section 6 -- Term and Termination.
+
+  a. This Public License applies for the term of the Copyright and
+     Similar Rights licensed here. However, if You fail to comply with
+     this Public License, then Your rights under this Public License
+     terminate automatically.
+
+  b. Where Your right to use the Licensed Material has terminated under
+     Section 6(a), it reinstates:
+
+       1. automatically as of the date the violation is cured, provided
+          it is cured within 30 days of Your discovery of the
+          violation; or
+
+       2. upon express reinstatement by the Licensor.
+
+     For the avoidance of doubt, this Section 6(b) does not affect any
+     right the Licensor may have to seek remedies for Your violations
+     of this Public License.
+
+  c. For the avoidance of doubt, the Licensor may also offer the
+     Licensed Material under separate terms or conditions or stop
+     distributing the Licensed Material at any time; however, doing so
+     will not terminate this Public License.
+
+  d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
+     License.
+
+
+Section 7 -- Other Terms and Conditions.
+
+  a. The Licensor shall not be bound by any additional or different
+     terms or conditions communicated by You unless expressly agreed.
+
+  b. Any arrangements, understandings, or agreements regarding the
+     Licensed Material not stated herein are separate from and
+     independent of the terms and conditions of this Public License.
+
+
+Section 8 -- Interpretation.
+
+  a. For the avoidance of doubt, this Public License does not, and
+     shall not be interpreted to, reduce, limit, restrict, or impose
+     conditions on any use of the Licensed Material that could lawfully
+     be made without permission under this Public License.
+
+  b. To the extent possible, if any provision of this Public License is
+     deemed unenforceable, it shall be automatically reformed to the
+     minimum extent necessary to make it enforceable. If the provision
+     cannot be reformed, it shall be severed from this Public License
+     without affecting the enforceability of the remaining terms and
+     conditions.
+
+  c. No term or condition of this Public License will be waived and no
+     failure to comply consented to unless expressly agreed to by the
+     Licensor.
+
+  d. Nothing in this Public License constitutes or may be interpreted
+     as a limitation upon, or waiver of, any privileges and immunities
+     that apply to the Licensor or You, including from the legal
+     processes of any jurisdiction or authority.
+
+=======================================================================
+
+Creative Commons is not a party to its public
+licenses. Notwithstanding, Creative Commons may elect to apply one of
+its public licenses to material it publishes and in those instances
+will be considered the “Licensor.” The text of the Creative Commons
+public licenses is dedicated to the public domain under the CC0 Public
+Domain Dedication. Except for the limited purpose of indicating that
+material is shared under a Creative Commons public license or as
+otherwise permitted by the Creative Commons policies published at
+creativecommons.org/policies, Creative Commons does not authorize the
+use of the trademark "Creative Commons" or any other trademark or logo
+of Creative Commons without its prior written consent including,
+without limitation, in connection with any unauthorized modifications
+to any of its public licenses or any other arrangements,
+understandings, or agreements concerning use of licensed material. For
+the avoidance of doubt, this paragraph does not form part of the
+public licenses.
+
+Creative Commons may be contacted at creativecommons.org.
+

README.md

@@ -0,0 +1,141 @@
+---
+license: cc-by-nc-4.0
+language:
+- en
+library_name: pytorch
+datasets:
+- Linzhan/UniML3D
+tags:
+- motion-generation
+- text-to-motion
+- character-animation
+- skeletal-animation
+- flow-matching
+- unimate
+- arxiv:2609.05415
+---
+
+# UniMate
+
+**One Unified Model to Animate Diverse Skeletons** (SIGGRAPH Asia 2026)
+
+[Project Page](https://linzhanmou.com/unimate/) · [Paper](https://arxiv.org/abs/2609.05415) · [Video](https://youtu.be/xbndC-dEuVw) · [Code](https://github.com/Friedrich-M/UniMate) · [Dataset](https://huggingface.co/datasets/Linzhan/UniML3D) · [Interactive Demo](https://linzhanmou.com/unimate/interactive.html)
+
+![UniMate teaser](teaser.png)
+
+Pretrained checkpoints of UniMate, a text-conditioned flow-matching model that generates motion for skeletons of any topology: animals, humanoids and rigged objects.
+
+## Models
+
+| Model | Architecture | Training data | Joints | Steps | Params¹ | Status |
+|---|---|---|---|---|---|---|
+| [`unimate_uniml3d_f60_v3`](unimate_uniml3d_f60_v3) | graph attention, AdaLN text | UniML3D [`d0f19d9`](https://huggingface.co/datasets/Linzhan/UniML3D/tree/d0f19d943038fb782a26c2a615bd9b3d4f3a8728) | 5–70 | 150k | 74.1M | **Recommended** |
+| [`unimate_uniml3d_f60_v3_cross_attn`](unimate_uniml3d_f60_v3_cross_attn) | full attention, cross-attention text | UniML3D `d0f19d9` | 5–70 | 150k | 66.2M | Variant |
+| [`unimate_uniml3d_f60_v2`](unimate_uniml3d_f60_v2) | graph attention, AdaLN text | UniML3D [`faaa817`](https://huggingface.co/datasets/Linzhan/UniML3D/tree/faaa81773b315247b03f183548e3898dbec2ce80) | 5–70 | 100k | 74.1M | Previous version |
+| [`unimate_uniml3d_f60_v2_cross_attn`](unimate_uniml3d_f60_v2_cross_attn) | full attention, cross-attention text | UniML3D `faaa817` | 5–70 | 100k | 66.2M | Previous version |
+| [`unimate_mixamo_f60_v2`](unimate_mixamo_f60_v2) | graph attention, AdaLN text | UniML3D `faaa817`, Mixamo | 22 (one rig) | 120k | 47.8M | **Recommended for Mixamo** |
+| [`unimate_truebones_f60_v2`](unimate_truebones_f60_v2) | graph attention, AdaLN text | UniML3D `faaa817`, Truebones | 5–85 | 80k | 47.8M | **Recommended for Truebones** |
+| [`unimate_uniml3d_f60_v1_preview`](unimate_uniml3d_f60_v1_preview) | graph attention, AdaLN text | UniML3D pre-release build | 5–60 | 120k | 74.1M | Superseded |
+
+¹ Denoiser only; the frozen `google/flan-t5-base` text encoder is downloaded on first use.
+
+The Mixamo model animates the 22-joint Mixamo rig only. The Truebones model covers 73 of the 74 species (all but Dragon), including Bear, Centipede and Monkey, which exceed the UniML3D models' limit. Use each model's latest checkpoint.
+
+## Model details
+
+| | |
+|---|---|
+| **Architecture** | Transformer denoiser, width 512, 8 heads, 10 layers (6 for the Mixamo and Truebones models); flow matching, linear path, velocity prediction |
+| **Inputs** | English motion description; the skeleton's T-pose, hierarchy and cleaned joint labels |
+| **Output** | 60 frames at 30 fps; per joint: position (3), rotation relative to the T-pose (6), velocity (3) |
+| **Text** | Frozen `google/flan-t5-base`; classifier-free guidance (10% caption dropout, default scale 3.0) |
+
+## Quick start
+
+From the root of the [code repository](https://github.com/Friedrich-M/UniMate), in its `unimate` environment:
+
+```bash
+# 1. download a model (for another model or checkpoint, change the folder and the step)
+hf download Linzhan/UniMate --repo-type model --local-dir outputs \
+    --include "unimate_uniml3d_f60_v3/*.json" --include "unimate_uniml3d_f60_v3/*.npy" \
+    --include "unimate_uniml3d_f60_v3/checkpoints/checkpoint_step_150000.pt"
+
+# 2. generate for an example asset shipped with the code (assets/examples/ also has an eagle and a shark)
+python -m unimate.inference.sample --exp_dir outputs/unimate_uniml3d_f60_v3 --asset assets/examples/unitree_go2 \
+    --prompt "An object trots forward." "An object rears up on its hind legs." --num_repetitions 3 \
+    --output_dir outputs/samples/custom
+
+# 3. drive each asset's mesh with its motions (one GLB / FBX per motion)
+bash scripts/run_animate_motion.sh outputs/samples/custom
+```
+
+For your own rigged GLB / glTF / FBX, `python -m data_process.rig_preprocess run --input <asset> --output_dir outputs/rig/<name>` labels its joints, stops so you can check them, and builds an asset directory that `--asset` takes. Skeletons of the [UniML3D](https://huggingface.co/datasets/Linzhan/UniML3D) dataset are named `<dataset>:<object_type>` (e.g. `mixamo`, `objaverse:<uid>`) once it is downloaded into `dataset/`. The code README covers both, along with prompting, in-betweening, joint editing and motion expansion.
+
+## Training
+
+AdamW (lr 1e-4, betas 0.9 / 0.99, weight decay 1e-5, clipping 1.0), 3% linear warmup then cosine decay to 5%, EMA 0.9999 (used at inference). Loss: masked L2 flow matching + 0.5 × geodesic rotation + 0.1 × velocity smoothness. 60-frame windows at 30 fps, batch 16 per GPU, with joint addition / removal, pooling and perturbation augmentations (Mixamo model: batch 32, no augmentation).
+
+| Model | GPUs | Time |
+|---|---|---|
+| `unimate_uniml3d_f60_v3` | 8× H100 | ≈ 35 h |
+| `unimate_uniml3d_f60_v3_cross_attn` | 8× H100 | ≈ 54 h |
+| `unimate_uniml3d_f60_v2` | 8× H100 | ≈ 22 h |
+| `unimate_uniml3d_f60_v2_cross_attn` | 8× H100 | ≈ 36 h |
+| `unimate_mixamo_f60_v2` | 4× H100 | ≈ 12 h |
+| `unimate_truebones_f60_v2` | 4× H100 | ≈ 15 h |
+| `unimate_uniml3d_f60_v1_preview` | 6× H100 | ≈ 23 h |
+
+Each model's `config.json` holds the model and data configuration that inference reads. The code repository's `configs/uniml3d_60frames_graph_adaln.json` and `configs/uniml3d_60frames_full_cross_attn.json` follow the v3 recipe and its cross-attention variant (at 120k steps; both trained 150k), and `configs/{mixamo,truebones}_60frames_graph_adaln.json` those of the Mixamo and Truebones models:
+
+```bash
+accelerate launch --num_processes 8 -m unimate.training.train --config configs/uniml3d_60frames_graph_adaln.json
+```
+
+## Repository layout
+
+```
+config.json                    index of the models
+<model>/
+  config.json                  model and data configuration, read by inference
+  dataset_stats.npy            normalization statistics
+  checkpoints/                 checkpoint_step_<N>.pt every 10k steps (model, EMA, optimizer, scheduler)
+```
+
+## Versions
+
+- **v3** (2026-10-05), over v2: newer data (UniML3D `d0f19d9`: re-reviewed annotations; 480 Objaverse-XL rigs authored lying down or upside down stood upright instead of filtered); three captions per clip (generic 35%, detailed 25%, normal 40%); fixed per-dataset sampling weights; one normalization pool for all datasets; logit-normal flow time; 150k steps.
+- **v2** (2026-09-28), over v1_preview: UniML3D `faaa817`; joint limit 70 instead of 60 (98.1% of the clips instead of 86.9%); datasets balanced before object types (Mixamo from under 1% to about 24% of the samples); 100k steps.
+- **v1_preview** (2026-09-27): first release, on a pre-release build of UniML3D.
+
+## Limitations
+
+- **Contact.** No unified contact model: contact-rich motions can slide, drift, hover or penetrate the ground; foot locking or IK post-processing helps where contacts are well defined.
+- **Rare topologies and motions.** The data is long-tailed toward humanoids and common locomotion; rare skeletons and unusual motions can come out static, jittery or off-prompt.
+- **Format.** Fixed 60-frame (2 s) samples (longer motion via expansion); a skeleton must fit the model's joint limit; prompts should describe the motion only, as every training caption starts with "An object".
+
+## License
+
+Checkpoints: [CC BY-NC 4.0](LICENSE). Code: MIT. This covers only our rights in the weights; the training data keep their source terms:
+
+| Model | Training data |
+|---|---|
+| `unimate_uniml3d_f60_v3`, `_v3_cross_attn`, `_v2`, `_v2_cross_attn`, `_v1_preview` | Truebones ZOO, Mixamo, Objaverse-XL |
+| `unimate_mixamo_f60_v2` | Mixamo |
+| `unimate_truebones_f60_v2` | Truebones ZOO |
+
+- **Truebones ZOO**: a commercial asset pack by [Truebones](https://truebones.com). Third parties allege that some of its animal assets come from commercial games (among them Resident Evil, Skyrim, Bless Online and Conan Exiles). We have not verified these claims; until they are resolved, treat the provenance of the Truebones-trained models as unclear.
+- **Mixamo**: Adobe's Mixamo terms of use.
+- **Objaverse-XL**: the license of each source object; some are non-commercial.
+
+We make no warranty that the checkpoints, or motions generated with them, are free of third-party rights. Rights holders with a concern can open a discussion on this repository or contact the authors.
+
+## Citation
+
+```bibtex
+@article{mou2026unimate,
+  title   = {UniMate: One Unified Model to Animate Diverse Skeletons},
+  author  = {Mou, Linzhan and Lei, Jiahui and Dou, Zhiyang and Cai, Chenyue and Song, Chaoyue and Finkelstein, Adam and Rusinkiewicz, Szymon},
+  journal = {arXiv preprint arXiv:2609.05415},
+  year    = {2026}
+}
+```

config.json

@@ -0,0 +1,104 @@
+{
+  "name": "UniMate",
+  "code": "https://github.com/Friedrich-M/UniMate",
+  "paper": "https://arxiv.org/abs/2609.05415",
+  "models": {
+    "unimate_uniml3d_f60_v3": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "configs/uniml3d_60frames_graph_adaln.json",
+      "attention": "graph",
+      "text_cond": "adaln",
+      "num_layers": 10,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 150000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_150000.pt",
+      "status": "recommended",
+      "dataset_revision": "d0f19d943038fb782a26c2a615bd9b3d4f3a8728"
+    },
+    "unimate_uniml3d_f60_v3_cross_attn": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "configs/uniml3d_60frames_full_cross_attn.json",
+      "attention": "full",
+      "text_cond": "cross_attn",
+      "num_layers": 10,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 150000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_150000.pt",
+      "status": "variant",
+      "dataset_revision": "d0f19d943038fb782a26c2a615bd9b3d4f3a8728"
+    },
+    "unimate_uniml3d_f60_v2": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "unimate_uniml3d_f60_v2/config.json",
+      "attention": "graph",
+      "text_cond": "adaln",
+      "num_layers": 10,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 100000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_100000.pt",
+      "status": "previous",
+      "dataset_revision": "faaa81773b315247b03f183548e3898dbec2ce80"
+    },
+    "unimate_uniml3d_f60_v2_cross_attn": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "unimate_uniml3d_f60_v2_cross_attn/config.json",
+      "attention": "full",
+      "text_cond": "cross_attn",
+      "num_layers": 10,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 100000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_100000.pt",
+      "status": "previous",
+      "dataset_revision": "faaa81773b315247b03f183548e3898dbec2ce80"
+    },
+    "unimate_mixamo_f60_v2": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "configs/mixamo_60frames_graph_adaln.json",
+      "attention": "graph",
+      "text_cond": "adaln",
+      "num_layers": 6,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 120000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_120000.pt",
+      "status": "recommended_for_mixamo",
+      "dataset_revision": "faaa81773b315247b03f183548e3898dbec2ce80"
+    },
+    "unimate_truebones_f60_v2": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "configs/truebones_60frames_graph_adaln.json",
+      "attention": "graph",
+      "text_cond": "adaln",
+      "num_layers": 6,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 80000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_80000.pt",
+      "status": "recommended_for_truebones",
+      "dataset_revision": "faaa81773b315247b03f183548e3898dbec2ce80"
+    },
+    "unimate_uniml3d_f60_v1_preview": {
+      "dataset": "Linzhan/UniML3D",
+      "train_config": "unimate_uniml3d_f60_v1_preview/config.json",
+      "attention": "graph",
+      "text_cond": "adaln",
+      "num_layers": 10,
+      "latent_dim": 512,
+      "num_frames": 60,
+      "fps": 30,
+      "steps": 120000,
+      "recommended_checkpoint": "checkpoints/checkpoint_step_120000.pt",
+      "status": "superseded"
+    }
+  }
+}

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_10000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6b6f4702dee930feb216fba762845327a16dcd2d21f443787b7b8016e070ab4d
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_100000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:329dc1090f72772379bc00378d74d42ed961f68b29eca0df5b4211b44d5cc976
+size 765031504

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_110000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d45f7164d2566f17b1cdcecaeba753c987ab72ee7a1d14bc23e47cd4b38df556
+size 765031504

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_120000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0b9f0708a850be4a8f160d11872e26158f576d0bb43137114c5b390fe0e620b3
+size 765031504

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_20000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7288dc05e3858d09e937972ca28f5d4b013edb491b5edbc599445733c6b36350
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_30000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9151bcb1b4a91da4281213e30c502841f4c90f3cfdcebaca20ea08f28212db21
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_40000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b49cdb69e9a7b28018836b5c1197e71a4f318b87acf0bf1d3939ef15759f04d1
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_50000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d633f727b46a1b922ca85bb04186c94a1ae1162d319d59d55a2f94688c44560c
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_60000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28a446db0cfb60cabd644b4ec8c7cc280ead528ac20426b6d03fc421bfc6127d
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_70000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b7e62a7dcac108082360e598e4e2f4eecd46f8d64befa45b9c2a775bdd18b56b
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_80000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b206f30f01f1a83d91b5c009f83bef419ef54647f9d0307378c05ba603c7a9f
+size 765029881

unimate_mixamo_f60_v2/checkpoints/checkpoint_step_90000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:49594de876247477e1c1907674992704ed58333128d37af18845f38984941b23
+size 765029881

unimate_mixamo_f60_v2/config.json

@@ -0,0 +1,114 @@
+{
+    "experiment": {
+        "name": "mixamo_60frames_graph_adaln",
+        "output_dir": "./outputs/mixamo_60frames_graph_adaln"
+    },
+    "truebones": {
+        "type": "truebones",
+        "path": "dataset/features/truebones",
+        "objects_subset": "all"
+    },
+    "mixamo": {
+        "type": "mixamo",
+        "path": "dataset/features/mixamo"
+    },
+    "objaverse": {
+        "type": "objaverse",
+        "path": "dataset/features/objaverse",
+        "objects_num": -1,
+        "filter_object": false
+    },
+    "dataset": {
+        "dataset_list": [
+            "mixamo"
+        ],
+        "topology_condition_type": "tpos",
+        "motion_repr": "unimate",
+        "max_motion_length": 60,
+        "max_joints": 22,
+        "min_joints": 5,
+        "max_depth": 7,
+        "feature_len": 12,
+        "use_dataset_stats": true,
+        "balanced_stats": false,
+        "tie_std": false,
+        "sampler_alpha": 0.5,
+        "sampler_dataset_alpha": 0.0,
+        "test_split_ratio": 0.0,
+        "split_seed": 42,
+        "use_addition_aug": false,
+        "use_removal_aug": false,
+        "use_pooling_aug": false,
+        "use_perturbation_aug": false,
+        "ground_motion_height": true,
+        "realign_feature": true
+    },
+    "model": {
+        "attention": "graph",
+        "text_cond": "adaln",
+        "latent_dim": 512,
+        "ff_size": 2048,
+        "num_layers": 6,
+        "num_heads": 8,
+        "dropout": 0.0,
+        "use_spectral_rope": true,
+        "max_freqs": 8,
+        "use_signnet": true,
+        "cond_mode": "text",
+        "cond_mask_prob": 0.1,
+        "use_joint_name_emb": true,
+        "use_graph_emb": false,
+        "use_depth_emb": true,
+        "concat_parent_features": true,
+        "num_tpos_queries": 4,
+        "inject_tpos_to_adaln": true,
+        "use_graph_attn_bias": true,
+        "share_graph_attn_bias": false,
+        "gradient_checkpointing": false,
+        "text_encoder_type": "t5",
+        "text_encoder_version": "google/flan-t5-base"
+    },
+    "scheduler": {
+        "diffusion_steps": 100,
+        "timestep_respacing": "",
+        "rescale_timesteps": false,
+        "noise_schedule": "cosine",
+        "scale_beta": 1.0,
+        "predict_xstart": true,
+        "learn_sigma": false,
+        "sigma_small": true
+    },
+    "training": {
+        "batch_size": 32,
+        "num_workers": 8,
+        "seed": 10,
+        "diff_model": "flow",
+        "learning_rate": 0.0001,
+        "weight_decay": 1e-05,
+        "adam_beta1": 0.9,
+        "adam_beta2": 0.99,
+        "max_grad_norm": 1.0,
+        "gradient_accumulation_steps": 1,
+        "warmup_ratio": 0.03,
+        "min_lr_ratio": 0.05,
+        "num_epochs": null,
+        "num_steps": 120000,
+        "log_interval": 50,
+        "save_interval": 10000,
+        "lambda_geo": 0.5,
+        "lambda_smooth": 0.1,
+        "use_ema": true,
+        "ema_decay": 0.9999,
+        "balanced": false
+    },
+    "sampling": {
+        "model_path": null,
+        "output_dir": null,
+        "seed": 10,
+        "object_type": null,
+        "num_samples": 3,
+        "num_repetitions": 3,
+        "device": "cuda",
+        "cfg_scale": 3.0
+    }
+}

unimate_mixamo_f60_v2/dataset_stats.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9a3d946da35da85866d828dacbccc4d587503e103882f18364547a3f3765f675
+size 877

unimate_truebones_f60_v2/checkpoints/checkpoint_step_10000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3eaadfc7f8a20e6374a40a5f2f92067682eb8d23eb5b073012d4dede157ecb3
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_20000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:786f14fc080b5f4b279b872b46b6ad2130d27c999b328c757dd33ad9a3531539
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_30000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2a4277ebf8ed4ecefed414af47595a337cb83eb1923fdabe065372655f261a4
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_40000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cf309568bae3421c89b2237eb4cb866889bc58f36be5e955f39d8e5aa3b2d2c6
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_50000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2996a2e4ee791e9964e81924c7214e8d5c9c711610666fe919c90452395e7e1f
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_60000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03711d28a84398f657b7c10913932181d5d4eb1eaf0718ef30f97e2eda4e0d7d
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_70000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd6cc24f8c88d72107d1229acb9e5655e3814e00d0874d22f73772b849467541
+size 765119993

unimate_truebones_f60_v2/checkpoints/checkpoint_step_80000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2228eecf8d59f156a3d4509b8faaa312709a0b965415e342bb19fdd171fb8b51
+size 765119993

unimate_truebones_f60_v2/config.json

@@ -0,0 +1,114 @@
+{
+    "experiment": {
+        "name": "truebones_60frames_graph_adaln",
+        "output_dir": "./outputs/truebones_60frames_graph_adaln"
+    },
+    "truebones": {
+        "type": "truebones",
+        "path": "dataset/features/truebones",
+        "objects_subset": "all"
+    },
+    "mixamo": {
+        "type": "mixamo",
+        "path": "dataset/features/mixamo"
+    },
+    "objaverse": {
+        "type": "objaverse",
+        "path": "dataset/features/objaverse",
+        "objects_num": -1,
+        "filter_object": false
+    },
+    "dataset": {
+        "dataset_list": [
+            "truebones"
+        ],
+        "topology_condition_type": "tpos",
+        "motion_repr": "unimate",
+        "max_motion_length": 60,
+        "max_joints": 86,
+        "min_joints": 5,
+        "max_depth": 18,
+        "feature_len": 12,
+        "use_dataset_stats": true,
+        "balanced_stats": true,
+        "tie_std": false,
+        "sampler_alpha": 0.5,
+        "sampler_dataset_alpha": 0.0,
+        "test_split_ratio": 0.0,
+        "split_seed": 42,
+        "use_addition_aug": true,
+        "use_removal_aug": true,
+        "use_pooling_aug": true,
+        "use_perturbation_aug": true,
+        "ground_motion_height": true,
+        "realign_feature": true
+    },
+    "model": {
+        "attention": "graph",
+        "text_cond": "adaln",
+        "latent_dim": 512,
+        "ff_size": 2048,
+        "num_layers": 6,
+        "num_heads": 8,
+        "dropout": 0.0,
+        "use_spectral_rope": true,
+        "max_freqs": 8,
+        "use_signnet": true,
+        "cond_mode": "text",
+        "cond_mask_prob": 0.1,
+        "use_joint_name_emb": true,
+        "use_graph_emb": false,
+        "use_depth_emb": true,
+        "concat_parent_features": true,
+        "num_tpos_queries": 4,
+        "inject_tpos_to_adaln": true,
+        "use_graph_attn_bias": true,
+        "share_graph_attn_bias": false,
+        "gradient_checkpointing": false,
+        "text_encoder_type": "t5",
+        "text_encoder_version": "google/flan-t5-base"
+    },
+    "scheduler": {
+        "diffusion_steps": 100,
+        "timestep_respacing": "",
+        "rescale_timesteps": false,
+        "noise_schedule": "cosine",
+        "scale_beta": 1.0,
+        "predict_xstart": true,
+        "learn_sigma": false,
+        "sigma_small": true
+    },
+    "training": {
+        "batch_size": 16,
+        "num_workers": 8,
+        "seed": 10,
+        "diff_model": "flow",
+        "learning_rate": 0.0001,
+        "weight_decay": 1e-05,
+        "adam_beta1": 0.9,
+        "adam_beta2": 0.99,
+        "max_grad_norm": 1.0,
+        "gradient_accumulation_steps": 1,
+        "warmup_ratio": 0.03,
+        "min_lr_ratio": 0.05,
+        "num_epochs": null,
+        "num_steps": 80000,
+        "log_interval": 50,
+        "save_interval": 10000,
+        "lambda_geo": 0.5,
+        "lambda_smooth": 0.1,
+        "use_ema": true,
+        "ema_decay": 0.9999,
+        "balanced": true
+    },
+    "sampling": {
+        "model_path": null,
+        "output_dir": null,
+        "seed": 10,
+        "object_type": null,
+        "num_samples": 3,
+        "num_repetitions": 3,
+        "device": "cuda",
+        "cfg_scale": 3.0
+    }
+}

unimate_truebones_f60_v2/dataset_stats.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b03a1a03869dda47db5064bb2ffbbbe0d68e33c3e13b0c23761dbd6c1f3d105b
+size 880

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_10000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a3fb478fe316c841c466bb1af42a0edee12d8d1ea38186258409688c8fcc2ea9
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_100000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d17ac51c8bf9b6dab8955556fd200a5a81b4de78b45e67f25b4db41c26cf10f7
+size 1185827848

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_110000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:03dcf3660e44a01c6af43d64ce67ca0a28165eabcd902fa75372bbf4a138fdbb
+size 1185827848

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_120000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3392a650bcb96d591c19d6e574d8cbfcf95e01dddeba0c826c69b8c5c19e44ac
+size 1185827848

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_20000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e46b18cf39b1dee4e5442f9d4912c0e9beeae5ef546329d7d8941a4513943830
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_30000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e347869f297cd184e4897cb85ee05608fbd5ae5543682d1d4291cdb8796f5d2
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_40000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b44ed0cbd84f7eac849953344c5e1fc140d442f281e52a2a1916d4d1ea345823
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_50000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a189440c2af1136f70ee96bd49ae81d16fee61e54ea68a7d6c18449b56e80788
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_60000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c6bf6d559e5466515439b777f4d66a32644a5a232a7b50f2f1ac86285f049a7
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_70000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5b609d54173044bee93a31282a8cd2ba2f2b0a0735adaab35faf31641b59f7ad
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_80000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77f8b45287a1bb2dec7fdb40a43f1f64e72663fd58983769e07232a76960b5b2
+size 1185825837

unimate_uniml3d_f60_v1_preview/checkpoints/checkpoint_step_90000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ffb9b1372de9171744da47ca577ee3953a2e86d5a8c62e0489df101f2a094891
+size 1185825837

unimate_uniml3d_f60_v1_preview/config.json

@@ -0,0 +1,115 @@
+{
+    "experiment": {
+        "name": "uniml3d_60frames_graph_adaln",
+        "output_dir": "./outputs/uniml3d_60frames_graph_adaln"
+    },
+    "truebones": {
+        "type": "truebones",
+        "path": "dataset/features/truebones",
+        "objects_subset": "all"
+    },
+    "mixamo": {
+        "type": "mixamo",
+        "path": "dataset/features/mixamo"
+    },
+    "objaverse": {
+        "type": "objaverse",
+        "path": "dataset/features/objaverse",
+        "objects_num": -1,
+        "filter_object": false
+    },
+    "dataset": {
+        "dataset_list": [
+            "truebones",
+            "mixamo",
+            "objaverse"
+        ],
+        "topology_condition_type": "tpos",
+        "motion_repr": "unimate",
+        "max_motion_length": 60,
+        "max_joints": 61,
+        "min_joints": 5,
+        "max_depth": 19,
+        "feature_len": 12,
+        "use_dataset_stats": true,
+        "balanced_stats": true,
+        "tie_std": false,
+        "sampler_alpha": 0.5,
+        "test_split_ratio": 0.0,
+        "split_seed": 42,
+        "use_addition_aug": true,
+        "use_removal_aug": true,
+        "use_pooling_aug": true,
+        "use_perturbation_aug": true,
+        "ground_motion_height": true,
+        "realign_feature": true
+    },
+    "model": {
+        "attention": "graph",
+        "text_cond": "adaln",
+        "latent_dim": 512,
+        "ff_size": 2048,
+        "num_layers": 10,
+        "num_heads": 8,
+        "dropout": 0.0,
+        "use_spectral_rope": true,
+        "max_freqs": 8,
+        "use_signnet": true,
+        "cond_mode": "text",
+        "cond_mask_prob": 0.1,
+        "use_joint_name_emb": true,
+        "use_graph_emb": false,
+        "use_depth_emb": true,
+        "concat_parent_features": true,
+        "num_tpos_queries": 4,
+        "inject_tpos_to_adaln": true,
+        "use_graph_attn_bias": true,
+        "share_graph_attn_bias": false,
+        "gradient_checkpointing": false,
+        "text_encoder_type": "t5",
+        "text_encoder_version": "google/flan-t5-base"
+    },
+    "scheduler": {
+        "diffusion_steps": 100,
+        "timestep_respacing": "",
+        "rescale_timesteps": false,
+        "noise_schedule": "cosine",
+        "scale_beta": 1.0,
+        "predict_xstart": true,
+        "learn_sigma": false,
+        "sigma_small": true
+    },
+    "training": {
+        "batch_size": 16,
+        "num_workers": 8,
+        "seed": 10,
+        "diff_model": "flow",
+        "learning_rate": 0.0001,
+        "weight_decay": 1e-05,
+        "adam_beta1": 0.9,
+        "adam_beta2": 0.99,
+        "max_grad_norm": 1.0,
+        "gradient_accumulation_steps": 1,
+        "warmup_ratio": 0.03,
+        "min_lr_ratio": 0.05,
+        "num_epochs": null,
+        "num_steps": 120000,
+        "log_interval": 50,
+        "save_interval": 10000,
+        "lambda_geo": 0.5,
+        "lambda_smooth": 0.1,
+        "use_ema": true,
+        "ema_decay": 0.9999,
+        "balanced": true
+    },
+    "sampling": {
+        "model_path": null,
+        "output_dir": null,
+        "seed": 10,
+        "object_type": null,
+        "num_samples": 2,
+        "num_repetitions": 3,
+        "device": "cuda",
+        "cfg_scale": 3.0
+    }
+}

unimate_uniml3d_f60_v1_preview/dataset_stats.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f449bd747ec65eeedc5e1723790dc988792c1875ec355af770b1c669b45f9b54
+size 1934

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_10000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:932161ec1a200d2a37f2f3acbf6dc55646beb55d4b4bf01f2b7803d0dabf47a3
+size 1185825837

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_100000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cbcfb7a057e45f967d5964fecf6b3f83358096f1306f25831e1644a18a50eb34
+size 1185827848

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_20000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3db483d1c4de027b3baea7d6f7c50c5bf1c7f2121f18424e579a1242a05da3c
+size 1185825837

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_30000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:98303e2848691cdcdabf29388127db834741ba54e6355c1926b009b2ecd8aff8
+size 1185825837

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_40000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20f619efb1fd41c4ab79b91bb92932d851eccb63abc398add50cf58461a19891
+size 1185825837

unimate_uniml3d_f60_v2/checkpoints/checkpoint_step_50000.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1227803b1d84a3245659c53fa53f21a657b125ef9d28196d6cc777887fe25c53
+size 1185825837