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amended-landweber-algorithm-for-image-deblurring

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deblurring

A curated list of resources for Image and Video Deblurring

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

background-matting

Background Matting: The World is Your Green Screen

curvaturefilter

Curvature Filters are efficient solvers for Variational Models

cutblur

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

cvpr2020-paper-code-interpretation

cvpr2020/cvpr2019／cvpr2018/cvpr2017 papers，极市团队整理

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deeplearningbook-chinese

Deep Learning Book Chinese Translation

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

drn

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

face-hallucination-benchmark

A collection of state-of-the-art face hallucination methods

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

jalali-lab-implementation-of-raisr

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to speed up the Python code. A very parallelized Python code employing multi-processing capabilities is used to speed up the testing process. The code has been tested on GNU/Linux and Mac OS X 10.13.2 platforms.

low-light-image-enhancement-resources

This is a resouce list for low light image enhancement

nbd

san

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

selfdeblur

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)