Codes
The following are some public codes related to our research work:
- Generative View Synthesis from 2D Semantics - [Code(github)]
- Self-supervised Single-view 3D Reconstruction via Semantic Consistency - [Code(github)]
- DeepGMR: Learning Latent Gaussian Mixture Models for Registration - [Code(github)]
- Appearance Consensus Driven Self-Supervised Human Mesh Recovery - [Code(github)]
- Two-shot Spatially-varying BRDF and Shape Estimation - [Code(github)]
- Self-supervised viewpoint learning from image collections - [Code(github)]
- Self-supervised point cloud reconstruction networks - [Code(github)]
- SENSE: a Shared Encoder Network for Scene-flow Estimation - [Code(github)]
- Pixel-Adaptive Convolutional Neural Networks - [Code(github)]
- SCOPS: Self-supervised Co-part Segmentation - [Code(github)]
- Gated Shape CNNs for Semantic Segmentation - [Code(github)]
- Competitive Collaboration - [Code(github)]
- Superpixel Sampling Networks - [Code(github)]
- SPLATNet for 2D-3D semantic segmentation - [Code(github)]
- Superpixels trained with segmentation aware affinity loss (SEAL) - [Code(github)]
- Video Propagation Networks - [Project Page] [Code(github)]
- Semantic Video CNNs through Representation Warping - [Project Page] [Code(github)]
- Bilateral Inception Networks - [Project Page] [Code(github)]
- Learning Sparse High Dimensional Filters - [Project Page] [Code(github)]
- Semantic Optical Flow - [Project Page] [Code(zip)]
- Efficient Facade Segmentation using Auto-Context - [Project Page] [Code(bitbucket)]