dfan / single-image-surface-normal-estimation
PyTorch implementation of the hourglass architecture proposed in "Single-Image Depth Perception in the Wild" by Chen, et al. in NIPS 2016. Adapted for surface normal estimation instead of relative depth estimation.
☆39Updated 5 years ago
Related projects: ⓘ
- Pytorch implementation of Single-Image Depth Perception in the Wild https://arxiv.org/pdf/1604.03901.pdf☆38Updated 11 months ago
- ☆43Updated this week
- Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019☆86Updated 3 years ago
- Code for the CVPR 2019 paper "Learning Single-Image Depth from Videos using Quality Assessment Networks"☆107Updated 4 years ago
- Depth from a single RGB image using crowd-sourcing relative-depth datasets. The pytorch implementation of the NIPS paper: Single-Image D…☆71Updated 6 years ago
- Monocular depth prediction with PyTorch☆59Updated 6 years ago
- Code accompanying the paper "Layer-structured 3D Scene Inference via View Synthesis", ECCV 2018☆87Updated 6 years ago
- Reflectance Adaptive Filtering Improves Intrinsic Image Estimation☆32Updated 6 years ago
- ☆49Updated 4 years ago
- ForkNet: Adversarial Semantic Scene Completion from a Single Depth Image - ICCV 2019☆60Updated 3 years ago
- Create RefRESH data: dataset tools for Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation (ECCV 2018…☆52Updated 5 years ago
- Towards Good Practice for CNN Based Monocular Depth Estimation☆46Updated last month
- Code for the CVPR 2020 paper "OASIS: A Large-Scale Dataset for Single Image 3D in the Wild"☆64Updated 3 years ago
- SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation☆137Updated 3 years ago
- ☆59Updated last month
- ☆38Updated 2 years ago
- The first fully convolutional metric learning for geometric/semantic image correspondences.☆87Updated 2 years ago
- Official implementation of paper "Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fie…☆120Updated 3 years ago
- [IJCAI 2019] Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos☆30Updated 5 years ago
- [CVPR 2020] Normal Assisted Stereo Depth Estimation☆109Updated 4 months ago
- Pytorch implementation of depth completion architectures (eg. SparseConv, Sparse-to-Dense)☆48Updated 3 years ago
- Neural network code for Deep Blending for Free-Viewpoint Image-Based Rendering (SIGGRAPH Asia 2018)☆77Updated 3 years ago
- Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)☆69Updated 4 years ago
- Unofficial Faster PyTorch implementation of Convolutional Spatial Propagation Network☆67Updated 4 years ago
- FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image☆127Updated 4 years ago
- Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction☆20Updated 6 years ago
- LEGO: Learning Edge with Geometry all at Once by Watching Videos☆82Updated 6 years ago
- Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)☆87Updated last year
- [CVPR 2019] Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction☆45Updated last year
- Rastering algorithm to approximate the rendering of a 3D model silhouette in a fully differentiable way.☆80Updated 5 years ago