alphaccw

mc-cnn

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

alphaccw.github.io

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-learning-papers

The most cited deep learning papers

awesome_3DReconstruction_list

A curated list of papers & ressources linked to 3D reconstruction from images.

bf-vos

Pytorch implementation of Blazingly Fast Video Object Segmentation with Pixel-Wise Metric Learning (Chen et al)

BridgeDepthFlow

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

computer-vision

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cvpr2019

cvpr2019 papers

deep-image-prior

Image restoration with neural networks but without learning.

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DISTS

IQA: Deep Image Structure and Texture Similarity Metric

dlaicourse

Notebooks for learning deep learning

EISeg

高效交互式语义分割标注软件EISeg 『Efficient and intelligent interactive segmentation annotation software』

event-based_vision_resources

GC-Net

gc-net for stereo matching by using pytorch

Image-Denoising-State-of-the-art

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

ORBSLAM2_with_pointcloud_map

pbdl-book

Welcome to the Physics-based Deep Learning Book (v0.1)

proxTV

Matlab and Python toolbox for fast Total Variation proximity operators

PSMNet

Pyramid Stereo Matching Network (CVPR2018)

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

stereo-match

Variational Stereo Matching

stereo-transformer

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

StereoNet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

SyntheticCV

easy-to-install python toolbox that can be used to easily generate synthetic training and testing data for various computer-vision problems

Video-Super-Resolution