Pyramid Stereo Matching Network (CVPR2018)
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Updated
Sep 22, 2021 - Python
Pyramid Stereo Matching Network (CVPR2018)
[CVPR'20] AANet: Adaptive Aggregation Network for Efficient Stereo Matching
Hierarchical Deep Stereo Matching on High Resolution Images, CVPR 2019.
[CVPR 2019] Learning Parallax Attention for Stereo Image Super-Resolution
single and stereo calibration, disparity calculation.
[CVPR 2022] ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
Dense Matching Benchmark
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
Python scripts performing stereo depth estimation using the CREStereo model in ONNX.
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
a python implementation of MC-CNN
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