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acfnet

This is an implementation for our paper "Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching"

atss

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection, CVPR, Oral, 2020

cnn-architectures

deep-iterative-collaboration

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

deep_stereo_matching

Tensorflow implementation of the paper "Efficient Deep Learning for Stereo Matching"

densematchingbenchmark

Dense Matching Benchmark

depth_estimation_mccnn

Depth estimation on mtk data with a CNN model trained for cost computation (MCCNN)

drn

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

ganet

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

gc-net

implement gc-net(Geometry and Context Network) by pytorch

gcnetwork

ism-algorithm

A invariant-based stereo matching algorithm

learning2adaptforstereo

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

ltmu

CVPR2020 Oral

mc-cnn

Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

mono_depth_estimator

Mono depth estimation for self-driving cars 🚗

monodepth

Unsupervised single image depth prediction with CNNs

open

开源软件

opencv

学习opencv

patchmatch

PathMatch is the state-of-the-art stereo match algorithm framework.

psmnet

Pyramid Stereo Matching Network (CVPR2018)

semi-global-matching

Semi-Global Matching

spmatch

C++ implementation of PatchMatch Stereo for images

stereo-correspondence-disparity-map

Stereo matching and sparse disparity map implementation using OpenCV (BRISK, ORB algorithms)

stereo-matching

Stereo matching algorithms implemented in MATLAB

wind-blade-inspection

Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.