Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout Paper • 2511.20649 • Published Nov 25 • 45
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout Paper • 2511.20649 • Published Nov 25 • 45
LoRAShop: Training-Free Multi-Concept Image Generation and Editing with Rectified Flow Transformers Paper • 2505.23758 • Published May 29 • 22
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published Feb 6 • 36
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published Feb 6 • 36 • 3
ConceptAttention: Diffusion Transformers Learn Highly Interpretable Features Paper • 2502.04320 • Published Feb 6 • 36
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models Paper • 2502.01639 • Published Feb 3 • 26
MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models Paper • 2412.05275 • Published Dec 6, 2024 • 1
CONFORM: Contrast is All You Need For High-Fidelity Text-to-Image Diffusion Models Paper • 2312.06059 • Published Dec 11, 2023
CLoRA: A Contrastive Approach to Compose Multiple LoRA Models Paper • 2403.19776 • Published Mar 28, 2024
MotionShop: Zero-Shot Motion Transfer in Video Diffusion Models with Mixture of Score Guidance Paper • 2412.05355 • Published Dec 6, 2024 • 9
Transformer Explainer: Interactive Learning of Text-Generative Models Paper • 2408.04619 • Published Aug 8, 2024 • 174