A curated list of awesome Deep Stereo Matching resources
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Updated
May 24, 2024 - TeX
A curated list of awesome Deep Stereo Matching resources
Simple VR180 image (format) converter (e.g. equidistant → equirectangular, rotation calibration)
A stereo matching framework that will help you design your stereo matching pipeline with state of the art performances.
[CVPR2024] The official implementation of "MoCha-Stereo: Motif Channel Attention Network for Stereo Matching”.
[CVPR 2024] Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching
open Multi-View Stereo reconstruction library
Stereo vision made Simple
project on obstacles detection and depth sensing based on stereo matching techniques for unibo computer vision course
Digital Image Correlation & Digital Volume Correlation Library
[CVPR 2024] Neural Markov Random Field for Stereo Matching
Tutorials of the "Mathemagics" behind computer vision before the deep learning era.
A minimal code example for stereo depth estimation
An implementation of the block matching stereo vision algorithm.
CUDA belief propagation as presented in paper "GPU implementation of belief propagation using CUDA for cloud tracking and reconstruction" published at the 2008 IAPR Workshop on Pattern Recognition in Remote Sensing (PRRS 2008). Code has been updated to work on current NVIDIA GPUs and with additional optimizations. Cite paper if using this code.
libStereoMatch is a universal stereo matching library. This library is developed using C++and divides the stereo matching steps into four steps: cost calculation, cost aggregation, disparity calculation, and disparity optimization. Users can build their own stereo matching algorithms through combination.
A repository to keep track of my efforts to learn how various stereo matching algorithms work. Note that the algorithms appearing in here probably won't be particularly optimised versions, but they might just be reasonably illustrative/demonstrative.
[CVPR 2023] Iterative Geometry Encoding Volume for Stereo Matching and Multi-View Stereo
Effortlessly deploy CREStereo in PyTorch with a simple pip install.
Matching space stereo networks - MSNet, with improved generalization properties
University course
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