"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023)

ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

basic inplementation of image processing algorithms, such as bilateral filter, BM3D and so on

FSRA

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

Repository for OpenCV's extra modules

OpenCV - 3rdparty

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

Spatial-Angular Interaction for Light Field Image Super-Resolution, arXiv 2019.

PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020).

NTIRE 2020 Perceptual Extreme Super-Resolution Challenge

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

Fast, Accurate and Lightweight Super-Resolution models

Pytorch code for our paper "Feedback Network for Image Super-Resolution" (CVPR2019)

🤘 awesome-semantic-segmentation

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

Neural style in TensorFlow! 🎨

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

✏️ Neural Style Transfer: A Review

Graphonomy: Universal Human Parsing via Graph Transfer Learning

Implementation of Neural Color Transfer between Images by PyTorch.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait..…

TensorFlow CNN for fast style transfer ⚡🖥🎨🖼