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bid

Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.

cv-histogrammatching

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deepupe_pytorch

unofficial inplementation of paper Underexposed Photo Enhancement using Deep Illumination Estimation(2019 CVPR)

dgnl-net

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

external-attention-pytorch

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

hdrnet-pytorch

Unofficial PyTorch implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement', SIGGRAPH 2017 https://groups.csail.mit.edu/graphics/hdrnet/

hwmnet

Half Wavelet Attention on M-Net+ for Low-light Image Enhancement

jgsuggest

first commit

lapgan

(Pytorch)Implementation of LAPGAN. (Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks)

mbllen.pytorch

Unofficial PyTorch Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.

pytorch

first commit

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

restoring-extremely-dark-images-in-real-time

The project is the official implementation of our CVPR 2021 paper, "Restoring Extremely Dark Images in Real Time"

restormer

A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"

rianet

The project is the official test implementation of "An End-to-End Retinex-based Illumination Attention Low-light Enhancement Network for Autonomous Driving at Night"

spp_net_image_classification

CNN Architectures(with and without SPP Layer) for Image Classification task

superpixels-slic

Superpixel segmentation using SLIC with Python.

surroundnet

Implement of paper: SurroundNet: Towards Effective Low-Light ImageEnhancemen

synchronized-batchnorm-pytorch

Synchronized Batch Normalization implementation in PyTorch.

torch-scan

Useful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)

uformer-pytorch

Implementation of Uformer, Attention-based Unet, in Pytorch

unit

Unsupervised Image-to-Image Translation

wespe

Manipulating image quality using GANs

you-can-see-clearly-now

A collection of awesome low-light image enhancement methods.