Bipartite graph reasoning GANs for person pose and facial image synthesis

We present a novel bipartite graph reasoning Generative Adversarial Network (BiGraphGAN) for two challenging tasks: person pose and facial image synthesis. The proposed graph generator consists of two novel blocks that aim to model the pose-to-pose and pose-to-image relations, respectively. Specific...

詳細記述

書誌詳細
主要な著者: Tang, H, Shao, L, Torr, PHS, Sebe, N
フォーマット: Conference item
言語:English
出版事項: Springer 2022

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