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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Tang, H, Shao, L, Torr, PHS, Sebe, N
Format: Conference item
Sprache:English
Veröffentlicht: Springer 2022