ChickenEating

MDA

code for A Multi-scale Information Integration Framework for Infrared and Visible Image Fusion

MaxKB

🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用、模型中立、灵活编排，支持快速嵌入到第三方业务系统，1Panel 官方出品。

ResNetFusion

The code of "Infrared and visible image fusion via detail preserving adversarial learning"

LCENet

The code of paper "Linear Contrast Enhancement Network for Low-illumination Image Enhancement"

Dif-Fusion

Codes for the Dif-Fusion model

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

955.WLB

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

AI-Job-Notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

TITFormer

InvDSNet

Image Desnowing via Deep Invertible Separation, TCSVT 2023

IR-Enhancement

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

FFDNet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

EPDN

Enhanced Pix2pix Dehazing Network, accepted by CVPR 2019

SICE

Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images (TIP 2018)

PGC-DN

Image-Contrast-Enhancement

Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017

DPIR

Plug-and-Play Image Restoration with Deep Denoiser Prior (IEEE TPAMI 2021) (PyTorch)

External-Attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

KAIR

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

BM3D_py

pure Python implementation of BM3D

noise2self

A framework for blind denoising with self-supervision.

pytorch-noise2void

Noise2Void - Learning Denoising from Single Noisy Images

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

n2v

This is the implementation of Noise2Void training.

Cycle-Dehaze

[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing

Neighbor2Neighbor_Pytorch

This is an unofficial implementation for the paper "NEIGHBOR2NEIGHBOR: SELF-SUPERVISED DENOISING FROM SINGLE NOISY IMAGES"

Neighbor2Neighbor

Neighbor2Neighbor: Self-Supervised Denoising from Single Noisy Images

IE-CGAN

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch