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Binocular stereo matching and depth estimation

  1. Learning Depth Estimation for Transparent and Mirror Surfaces. ICCV 2023, paper. web.

  2. NeRF-Supervised Deep Stereo. CVPR 2023. paper.code.project

  3. Iterative Geometry Encoding Volume for Stereo Matching. CVPR 2023.paper. code

  4. High-Frequency Stereo Matching Network. CVPR 2023. paper.[code](https://github.com/David- Zhao- 1997/High- frequency- Stereo- Matching- Network.)

  5. Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation. CVPR 2023. paper.code

  6. Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates. CVPR 2023. paper. project

  7. DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering. CVPR 2023. paper

  8. Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues. CVPR 2023. paper. code

  9. A Practical Stereo Depth System for Smart Glasses. CVPR 2023. paper

  10. Domain Generalized Stereo Matching via Hierarchical Visual Transformation. CVPR 2023. paper.

  11. Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity. CVPR 2023. paper

  12. Masked Representation Learning for Domain Generalized Stereo Matching. CVPR 2023. paper

  13. DynamicStereo: Consistent Dynamic Depth From Stereo Videos. CVPR 2023. paper. project. code.

2022 and earlier

  1. Practical stereo matching via cascaded recurrent network with adaptive correlation. CVPR 2022. paper. code

  2. ChiTransformer: Towards Reliable Stereo from Cues. CVPR 2022. paper. code

  3. ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation. CVPR 2022. paper. code.

  4. Attention Concatenation Volume for Accurate and Efficient Stereo Matching. CVPR 2022. paper. code

  5. FoggyStereo: Stereo Matching with Fog Volume Representation. CVPR 2022. paper.

  6. ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. CVPR 2022. paper.

  7. GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature. CVPR 2022.paper. code

  8. Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light. CVPR 2022. paper. code

  9. Cfnet: Cascade and fused cost volume for robust stereo matching. CVPR 2021 paper. code

  10. Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching. CVPR 2021. paper. code

  11. Raft-stereo: Multilevel recurrent field transforms for stereo matching. 3DV 2021. paper. code

  12. AANet: Adaptive aggregation network for efficient stereo matching. CVPR 2020. paper. code

  13. Group-wise correlation stereo network. CVPR 2019. paper. code

  14. GA-net: Guided aggregation net for end-to-end stereo matching. CVPR 2019. paper. code

  15. Degradation-agnostic Correspondence from Resolution-asymmetric Stereo. CVPR 2022. paper

  16. Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective. CVPR 2022. paper. code

  17. Edgestereo: An effective multi-task learning network for stereo matching and edge detection. IJCV 2020. paper

  18. Edgestereo: A context integrated residual pyramid network for stereo matching. ACCV 2018. paper

  19. Pyramid stereo matching network. CVPR 2018. paper. code

  20. End-to-end learning of geometry and context for deep stereo regression. ICCV 2017. paper

  21. A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation. CVPR 2016. paper. code

  22. Stereo matching by training a convolutional neural network to compare image patches. J. Mach. Learn. Res. 2016. paper. code