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Matlab code for STAR: A Structure and Texture Aware Retinex Model, TIP 2020.
a matlab demo for the paper "A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observation of Scenes"
Image-to-Image Translation in PyTorch
Image-to-image translation with conditional adversarial nets
This repository implements the paper "Single Image Super-Resolution via a Holistic Attention Network" published in ECCV2020.
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Official code of "Direct Unsupervised Super-Resolution using Generative Adversarial Network (DUS-GAN) for Real-World Data" published in an IEEE Transaction in Image Processing (TIP).
Pytorch implementation of "Enhance Image as You Like with Unpaired Learning" (IJCAI 2021)
Structure and Illumination Constrained GAN forMedical Image Quality Enhancement
A clean and readable Pytorch implementation of CycleGAN
Awesome paper list with code about generative adversarial nets
[TIP-2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.
This is a resouce list for low light image enhancement
[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)
use pytorch DeepBIQ and Proximal Policy Optimization（PPO） to search usb camera image quality param
Adversarial Training for Solving Inverse Problems
no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA
A collection of publications on low illuminations image enhancement
Kindling the Darkness: a Practical Low-light Image Enhancer
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
Official implementation of "Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed Images" (ECCV'20).
Dark Region-Aware Low-light Image Enhancement (BMVC 2020)
Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
Implementations of paper <Shift-and-Balance Attention>
Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement