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awesome-computer-vision

A curated list of awesome computer vision resources

awesome-denoise

Awesome Denoising papers w/o code

awesome-emdl

Embedded and mobile deep learning research resources

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

bayertorgb

Hight quility bayer interpolation and scaler in raw domain

bgu

bilateral-filtering

Applying Bilateral Filtering to images

burst-denoising

burstimagedenoising

Fast burst images denoising project

c100

C语言名题精选百则 技巧篇 冼镜光 源代码

cdbin

Project for TCSVT2019 CDbin: codes and model

coursera-android

Source Code for Android Course Example Applications

cpm

Coarse-to-fine PatchMatch for dense correspondence

crossscalestereo

Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014)

ddis

Template Matching with Deformable Diversity Similarity

dfn

discrete-optimization-001

Coursera Discrete Optimization course programming assignments source code

dl_stereo_matching

A Tensorflow implementation of the models described in the paper "Efficient Deep Learning for Stereo Matching"

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

dpid

Rapid, Detail-Preserving Image Downscaling

dren_tensorflow

DREN Tensorflow rotate mnist

edges

Structured Edge Detection Toolbox

epicflow

A Matlab wrapper for EpicFlow

exposurefusion

Exposure Fusion Technique

fast-adaptive-bilateral-filtering

Matlab code for "Fast Adaptive Bilateral Filtering", IEEE TIP

five-point-fundamental

The Matlab implementation of the 5 point fundamental matrix estimator. If you use this work for Academic purposes, please cite Barath, D., Five-point fundamental matrix estimation for uncalibrated cameras, Conference on Computer Vision and Pattern Recognition, 2018

fpsqrt

Integer and fixed point square root functions using only add, subtract and shifts

gc-net

Geometry and Context Network

gcnetwork

gms-feature-matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)