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...
| Asıl Yazarlar: | , , , |
|---|---|
| Materyal Türü: | Conference item |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Springer
2022
|