Photo-Geometric Autoencoder
University of Oxford3D reconstructionOpen weights
Photo-Geometric Autoencoder is a 3d reconstruction model from University of Oxford released in 2019.
About Photo-Geometric Autoencoder
We propose a method to learn 3D deformable object categories from raw single-view images, without external supervision. The method is based on an autoencoder that factors each input image into depth, albedo, viewpoint and illumination. In order to di
Details
- Provider
- University of Oxford
- Task
- 3D reconstruction
- Released
- 2019-11-25
- Open weights
- Yes