Pyramid Stereo Matching Network (CVPR2018)
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Updated
Sep 22, 2021 - Python
Pyramid Stereo Matching Network (CVPR2018)
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching
[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[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).
Dense Matching Benchmark
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
Small Python utility to compare and visualize the output of various stereo depth estimation algorithms
[CVPR 2025] Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail
[CVPR2024] The official implementation of "MoCha-Stereo: Motif Channel Attention Network for Stereo Matching”. & [Arxiv] The official implementation of "Motif Channel Opened in a White-Box: Stereo Matching via Motif Correlation Graph"
[CVPR 2024 Highlight] Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching
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