Generative Adversarial Networks

Attentional Liquid Warping GAN

Introduced by Liu et al. in Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

Attentional Liquid Warping GAN is a type of generative adversarial network for human image synthesis that utilizes a 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.

Source: Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Denoising 1 33.33%
Image Generation 1 33.33%
Novel View Synthesis 1 33.33%

Components


Component Type
AttLWB
Image Model Blocks

Categories