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Dec, 2023
可控人物图像生成的解耦表示学习
Disentangled Representation Learning for Controllable Person Image Generation
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Wenju Xu, Chengjiang Long, Yongwei Nie, Guanghui Wang
TL;DR
本文提出了一种名为DRL-CPG的新框架,用于学习可控人物图像生成的分离潜在表示,通过使用transformer编码器和属性解码器来实现形状和纹理的转换,实现了产生具有所需姿势和人体属性(例如姿势,头部,上衣和裤子)的逼真人物图像的目标。
Abstract
In this paper, we propose a novel framework named
drl-cpg
to learn
disentangled latent representation
for
controllable person image generation
→