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abpn

Attention based Back Projection Network (ABPN) for image ultra-resolution

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-cvpr2021-cvpr2020-low-level-vision

A Collection of Papers and Codes for CVPR2021/CVPR2020 Low Level Vision

awesome-diffusion-model-for-image-processing

one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-image-inpainting

A curated list of image inpainting and video inpainting papers and resources

awesome-image-translation

A collection of awesome resources image-to-image translation.

awesome-super-resolution

Collect super-resolution related papers, data, repositories

basicsr

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

blur-kernel-space-exploring

Exploring Image Deblurring via Blur Kernel Space (CVPR'21)

books

【编程随想】收藏的电子书清单（多个学科，含下载链接）

bsrgan

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (PyTorch) - We released the testing code!

bsrgan_implementation

carafe

Unofficial implementation of CARAFE: Content-Aware ReAssembly of FEatures. Pure pytorch imp

color-transfer-between-images

This is the open-source implement the paper "Color Transfer between Images" by Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley.

contextualloss

The Contextual Loss

cotnet

This is an official implementation for "Contextual Transformer Networks for Visual Recognition".

cutblur

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

cvpr2019

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

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dasr

Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"

data-efficient-gans

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

dataloaders_dali

PyTorch DataLoaders implemented with DALI for accelerating image preprocessing

dcsr

[ICCV 2021 (Oral Presentation)] Dual-Camera Super-Resolution with Aligned Attention Modules (RefSR)

decoupled-contrastive-learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

deep-learning-ocean

:satellite: All You Need to Know About Deep Learning - A kick-starter

deepnude-an-image-to-image-technology

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

deflow

Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows