lmb-freiburg / optical-flow-2d-data-generation
Caffe(v1)-compatible codebase to generate optical flow training data on-the-fly; used for the IJCV 2018 paper "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?" (http://dx.doi.org/10.1007/s11263-018-1082-6)
☆18Updated 5 years ago
Alternatives and similar repositories for optical-flow-2d-data-generation:
Users that are interested in optical-flow-2d-data-generation are comparing it to the libraries listed below
- RIC-Flow, CVPR 2017 (merged into OpenCV)☆32Updated 5 years ago
- Code for "A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation"☆30Updated last year
- SENSE: a Shared Encoder Network for Scene-flow Estimation☆78Updated 4 years ago
- Main reference:Handa, A., Whelan, T., Mcdonald, J., & Davison, A. J. (2014). A Benchmark for RGB-D Visual Odometry , 3D Reconstruction an…☆30Updated 8 years ago
- Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching☆55Updated 4 years ago
- Code of 'FGI: Fast Guided Global Interpolation for Depth and Motion' (ECCV 2016 spotlight)☆28Updated 8 years ago
- ☆31Updated 2 years ago
- Code of paper: Exploiting temporal consistency for real-time video depth estimation (ICCV 2019)☆87Updated 2 years ago
- DispNet3, FlowNet3, FlowNetH, SceneFlowNet -- in Docker☆28Updated 2 years ago
- Code for: "Learning To Adapt For Stereo" accepted at CVPR2019☆80Updated 5 years ago
- Code accompanying the paper "360 Surface Regression with a Hyper-Sphere Loss", 3DV 2019☆17Updated 3 years ago
- Demo code for paper "Learning optical flow from still images", CVPR 2021.☆152Updated 3 years ago
- LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)☆44Updated 4 years ago
- DKN code☆44Updated 5 years ago
- This is the implementation of our CVPR 2021 paper: Lighting, Reflectance and Geometry Estimation from 360° Panoramic Stereo☆27Updated 3 years ago
- The repository for paper https://arxiv.org/abs/1902.10840☆61Updated 5 years ago
- Unsupervised Learning of Multi-Frame Optical Flow with Occlusions☆43Updated 6 years ago
- Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation☆18Updated 5 years ago
- Generate animated visualizations for optical flow fields☆18Updated 5 years ago
- Dynamic Scene Scoping for Optical Flow (CVPR 2020)☆95Updated 2 years ago
- ☆33Updated 6 years ago
- Joint geodesic upsampling☆12Updated 7 years ago
- Implementation of our CVPR2019 paper on Depth Completion: Dense Depth Posterior (DDP) from Single Image and Sparse Range☆17Updated 5 years ago
- The first fully convolutional metric learning for geometric/semantic image correspondences.☆88Updated 3 years ago
- Flexible, Large, Augmentable, ToF dataset - a dataset for Time of Flight cameras and deep learning☆67Updated last year
- ☆32Updated 3 years ago
- CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.☆36Updated 8 years ago
- Perceptual Deep Depth Super-Resolution, ICCV 2019☆16Updated 4 years ago
- Official implementation of paper "Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fie…☆118Updated 4 years ago
- 2020 TPAMI, SurfaceNet+ is a volumetric learning framework for the very sparse MVS. The sparse-MVS benchmark is maintained here. Authors:…☆78Updated 4 years ago