aupendu

zero-restore

Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder's Model

progressive-dehaze

Progressive Update Guided Interdependent Networks for Single Image Dehazing

sr-uncertainty

Fast Bayesian Uncertainty Estimation and reduction of Batch Normalized Single Image Super-Resolution Network

aupendu.github.io

Website

DerainZoo

DerainZoo for collecting deraining methods, datasets, and codes.

LF-Feature-Adaptation

Adapting the Learning Models of Single Image Super-resolution into Light-field Imaging

SelfEnNet

PyTorch Code of Paper Titled Self-supervision via Controlled Transformation and Unpaired Self-conditioning for Low-light Image Enhancement

Single-Image-Super-Resolution

A collection of high-impact and state-of-the-art SR methods

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

ArbSR

[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution

awesome-dehazing

A curated list of awesome dehazing papers

DA_dahazing

Domain Adaptation for Image Dehazing, CVPR2020

DeOldify

A Deep Learning based project for colorizing and restoring old images (and video!)

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

fullstack-course4

Example code for HTML, CSS, and Javascript for Web Developers Coursera Course

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

pysrwarp

pytorch-deform-conv-v2

PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

pytorch-MemNet

pytorch reimplementation of basic architecture of MemNet

SelfDeblur

Neural Blind Deconvolution Using Deep Priors (CVPR 2020)

siren

PyTorch implementation of Sinusodial Representation networks (SIREN)

SKNet

try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch

SKNet_pytorch

A reimplementation of the SKNet(Selective Kernel Networks) by pytorch

Syn2Real

Syn2Real Transfer Learning for Image Deraining using Gaussian Processes

uncertainty-toolbox

A python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

Video-and-Single-Image-Deraining

categorize current rain removal methods and fairly evaluate their deraining ability based on diverse benchmark datasets

vision

Datasets, Transforms and Models specific to Computer Vision

Water-Net_Code

Code repository for our paper Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao , "An Underwater Image Enhancement Benchmark Dataset and Beyond" IEEE TIP 2019.