meteorshowers / X-StereoLabLinks
SOS IROS 2018 GOOGLE; StereoNet ECCV2018 GOOGLE; ActiveStereoNet ECCV2018 Oral GOOGLE; HITNET CVPR2021 GOOGLE;PLUME Uber ATG
☆710Updated 3 years ago
Alternatives and similar repositories for X-StereoLab
Users that are interested in X-StereoLab are comparing it to the libraries listed below
Sorting:
- [CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching☆547Updated 2 years ago
- GA-Net: Guided Aggregation Net for End-to-end Stereo Matching☆564Updated 5 years ago
- Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)☆423Updated 2 years ago
- Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)☆744Updated 3 years ago
- Pyramid Stereo Matching Network (CVPR2018)☆1,510Updated 4 years ago
- Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.☆423Updated 2 years ago
- Group-wise Correlation Stereo Network, CVPR 2019☆329Updated 6 years ago
- DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)☆363Updated 5 years ago
- From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation☆664Updated last year
- Hierarchical Neural Architecture Searchfor Deep Stereo Matching (NeurIPS 2020)☆267Updated 4 years ago
- (ICRA) Anytime Stereo Image Depth Estimation on Mobile Devices☆516Updated 3 years ago
- Convolutional Spatial Propagation Network☆500Updated 4 years ago
- Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch☆551Updated 6 years ago
- Official MegEngine implementation of CREStereo(CVPR 2022 Oral).☆556Updated 2 years ago
- Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)☆700Updated 2 years ago
- Monocular Depth Prediction☆468Updated last year
- Lightweight stereo matching network based on MobileNet blocks☆278Updated 3 years ago
- HITNet implementation using PyTorch☆135Updated 4 years ago
- Image Processing for Basic Depth Completion☆598Updated 6 years ago
- ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"☆644Updated 4 years ago
- Deep Depth Completion of a Single RGB-D Image☆584Updated 4 years ago
- Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]☆502Updated 3 years ago
- Dense Matching Benchmark☆175Updated 3 years ago
- ☆470Updated 5 years ago
- Domain-invariant Stereo Matching Networks☆231Updated 3 years ago
- gc-net for stereo matching by using pytorch☆114Updated 7 years ago
- A curated list of publication for depth estimation☆340Updated 5 years ago
- ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)☆451Updated 6 years ago
- Pytorch version of SfmLearner from Tinghui Zhou et al.☆1,030Updated 2 years ago
- Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)☆180Updated 3 years ago