/OpenStereo

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

Primary LanguagePythonMIT LicenseMIT

OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline

OpenStereo is a flexible and extensible project for stereo matching.

What's New

Our Publications

  • [Arxiv'24] LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation, Paper and Code.
  • [Arxiv'23] OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline, Paper and Code.

Highlighted features

Getting Started

Please see 0.get_started.md. We also provide the following tutorials for your reference:

Model Zoo

Results and models are available in the model zoo.

Acknowledgement

AANet   ACVNet   CascadeStereo   CFNet   COEX   DenseMatching   FADNet++   GwcNet   MSNet   PSMNet   RAFT   STTR   OpenGait   IGEV  

Citation

@article{OpenStereo,
        title={OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline},
        author={Guo, Xianda and Zhang, Chenming and Lu, Juntao  and Wang, Yiqi and Duan, Yiqun and Yang, Tian and Zhu, Zheng and Chen, Long},
        journal={arXiv preprint arXiv:2312.00343},
        year={2023}
}
@article{guo2024lightstereo,
        title={LightStereo: Channel Boost Is All Your Need for Efficient 2D Cost Aggregation},
        author={Guo, Xianda and Zhang, Chenming and Nie, Dujun and Zheng, Wenzhao and Zhang, Youmin and Chen, Long},
        journal={arXiv preprint arXiv:2406.19833},
        year={2024}
}

Note: This code is only used for academic purposes, people cannot use this code for anything that might be considered commercial use.