578 Open source projects that are alternatives of or similar to RCAN-tf

SwinIR: Image Restoration Using Swin Transformer (official repository)

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

A modern PyTorch implementation of SRGAN

Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

AI无损放大工具

A High-Quality Real Time Upscaler for Anime Video

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Collection of popular and reproducible image denoising works.

Coarse-to-Fine CNN for Image Super-Resolution (IEEE Transactions on Multimedia,2020)

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

Tensorflow implementation of MIRNet for Low-light image enhancement

Code and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.

Keras implementation of EDVR: Video Restoration with Enhanced Deformable Convolutional Networks

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

A video analysis tool built completely in python.

Official repository of the paper "HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment".

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020

AI Super - Resolution

DeepSUM: Deep neural network for Super-resolution of Unregistered Multitemporal images (ESA PROBA-V challenge)

Generative Adversarial Network for single image super-resolution in high content screening microscopy images

A survey of recent application of deep learning on super-resolution tasks

Official TensorFlow code for paper "Multi-Image Super Resolution of Remotely Sensed Images Using Residual Attention Deep Neural Networks".

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

SiENet: Siamese Expansion Network for Image Extrapolation(IEEE SPL2020)

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

[CVPR 2022] Official repository for the paper "Uformer: A General U-Shaped Transformer for Image Restoration".

Image registration using pytorch

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

A Real-ESRGAN model trained on a custom dataset

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

MODS with external deep descriptors/detectors

Image inpainting based on OMP and KSVD algorithm

A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.

A generic framework which implements some famouts super-resolution models

Code and Datasets for "Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement", Pattern Recognition, 2019

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Sensifai image and video enhancement module on mobiles

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

TensorRT Examples (TensorRT, Jetson Nano, Python, C++)

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Chainer implementation of Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

In this project I have used an convolution neural network with perceptual loss to convert low res image into high res image.

Official repository of FISR (AAAI 2020).

Multi class audio classification using Deep Learning (MLP, CNN): The objective of this project is to build a multi class classifier to identify sound of a bee, cricket or noise.

This is the project page of our paper which has been published in ECCV 2020.

SRZoo: An integrated repository for super-resolution using deep learning