princeton-vl / surface_normals
Code for the ICCV 2017 paper "Surface Normals in the Wild"
☆33Updated 7 years ago
Alternatives and similar repositories for surface_normals:
Users that are interested in surface_normals are comparing it to the libraries listed below
- Code & data for SurfConv paper at CVPR18☆53Updated 6 years ago
- Learning Sparse High Dimensional Filters with Neural Networks☆69Updated 7 years ago
- ☆34Updated 6 years ago
- Marr Revisited: 2D-3D Alignment via Surface Normal Prediction☆99Updated 5 years ago
- Code for "Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching", NeurIPS 2018.☆56Updated 5 years ago
- Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency☆83Updated 5 years ago
- Implementation of our ECCV 2018 paper "Efficient Semantic Scene Completion Network with Spatial Group Convolution"☆44Updated 5 years ago
- Implementation for the Neural Rerendering in the Wild paper☆28Updated 5 years ago
- Code for the NIPS 2016 paper☆124Updated 6 years ago
- Pytorch implementation of Single-Image Depth Perception in the Wild https://arxiv.org/pdf/1604.03901.pdf☆38Updated last year
- 3D Semantic Scene Completion☆9Updated 5 years ago
- Implementation for "Plug-and-Play: Improve Depth Prediction via Sparse Data Propagation"☆59Updated 5 years ago
- ☆31Updated 8 years ago
- Unsupervised Learning of Multi-Frame Optical Flow with Occlusions☆43Updated 6 years ago
- Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"☆65Updated 3 years ago
- Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network☆67Updated 5 years ago
- Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction☆20Updated 6 years ago
- This is the implementation of our paper: Conditional Prior Networks for Optical Flow☆20Updated 5 years ago
- Code for "PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation"☆60Updated 5 years ago
- PyTorch Implementation for CS231N Course Project - "Fully Convolutional Network for Depth Estimation and Semantic Segmentation"☆86Updated 7 years ago
- Code Release for "Proposal Flow" CVPR 2016.☆34Updated 8 years ago
- Code for our CVPR17 paper on "Video Propagation Networks"☆90Updated 6 years ago
- 3D surface normal estimation from a single image☆59Updated 7 years ago
- surface normal estimation (CVPR 2015)☆33Updated 8 years ago
- Code accompanying the paper "Layer-structured 3D Scene Inference via View Synthesis", ECCV 2018☆87Updated 6 years ago
- Dual CNN Models for Unsupervised Monocular Depth Estimation☆37Updated 6 years ago
- Scene Parsing with Global Context Embedding, ICCV 2017☆22Updated 7 years ago
- source code for "STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling (CVPR2017)"☆35Updated 3 years ago
- Code for our CVPR 2016 paper "Unsupervised Learning of Edges"☆45Updated 8 years ago
- LEGO: Learning Edge with Geometry all at Once by Watching Videos☆83Updated 6 years ago