Attentional Liquid Warping GAN

2000년 도입 · 논문 1편에서 사용

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.

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

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