A conditional deep generative model of people in natural images
We propose a deep generative model of humans in natural images which keeps 2D pose separated from other latent factors of variation, such as background scene and clothing. In contrast to methods that learn generative models of low-dimensional representations, e.g., segmentation masks and 2D skeleton...
| Main Authors: | , , , , , |
|---|---|
| Format: | Conference item |
| Published: |
IEEE
2019
|