Pyramid Stereo Matching Network (CVPR2018)
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Updated
Sep 22, 2021 - Python
Pyramid Stereo Matching Network (CVPR2018)
[TPAMI 2025 & CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching
[TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
A novel paradigm for collecting and generating stereo training data using neural rendering
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
single and stereo calibration, disparity calculation.
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
[CVPR 2025] DEFOM-Stereo: Depth foundation model based stereo matching
[CVPR 2024 Highlight] Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
Dense Matching Benchmark
Small Python utility to compare and visualize the output of various stereo depth estimation algorithms
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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