Pyramid Stereo Matching Network (CVPR2018)
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Updated
Sep 22, 2021 - Python
Pyramid Stereo Matching Network (CVPR2018)
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.
Code for "Real-time self-adaptive deep stereo" - CVPR 2019 (ORAL)
📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
This program has been developed as part of a project at the University of Karlsruhe in Germany. The final purpose of the algorithm is to measure the distance to an object by combining two webcams and use them as a Stereo Camera.
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch (ICCV 2019)
A novel paradigm for collecting and generating stereo training data using neural rendering
[CVPR 2020] DSGN: Deep Stereo Geometry Network for 3D Object Detection
Lightweight stereo matching network based on MobileNet blocks
[CVPR 2025] DEFOM-Stereo: Depth foundation model based stereo matching
single and stereo calibration, disparity calculation.
Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).
Satellite Stereo Pipeline
Machine vision toolbox for Python
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
SMD-Nets: Stereo Mixture Density Networks
Small Python utility to compare and visualize the output of various stereo depth estimation algorithms
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