Attentional Liquid Warping GAN
Attentional Liquid Warping GAN
**Attentional Liquid Warping GAN** is a type of generative adversarial network for human image synthesis that utilizes a [AttLWB](https://paperswithcode.com/method/attlwb) block, which is a 3D body mesh recovery module that disentangles pose and shape. To preserve the source information, such as texture, style, color, and face identity, the Attentional Liquid Warping GAN with AttLWB propagates the source information in both image and feature spaces to the synthesized reference.
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis
https://paperswithcode.com/paper/liquid-warping-gan-with-attention-a-unified
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis