184 Open source projects that are alternatives of or similar to Real-ESRGAN-colab

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

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

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。

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

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

Pytorch implementation for LapSRN (CVPR2017)

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。

Code repo for "Cross-Scale Internal Graph Neural Network for Image Super-Resolution" (NeurIPS'20)

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

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

Manual, source-code and binaries for the NanoJ-Fluidics project

A High-Quality Real Time Upscaler for Anime Video

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

Meta-Transfer Learning for Zero-Shot Super-Resolution (CVPR, 2020)

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

Image Super-Resolution Using SRCNN, DRRN, SRGAN, CGAN in Pytorch

Simple realization of papers in oppo Research Institute super score competition.

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

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

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

Official Pytorch Implementation for Trinity of Pixel Enhancement: a Joint Solution for Demosaicing, Denoising and Super-Resolution

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

OpenMMLab Image and Video Editing Toolbox

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

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

torch implementation of srgan

Multi-frame super-resolution via sub-pixel.

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

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’.

EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis (official repository)

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

AI Super - Resolution

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Image Upscaling in Javascript. Increase image resolution up to 4x using Tensorflow.js.

Super Resolution for Anime image, lightweight implementation

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

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

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

No description or website provided.

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth

It is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Latest development of ISR/VSR. Papers and related resources, mainly state-of-the-art and novel works in ICCV, ECCV and CVPR about image super-resolution and video super-resolution.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Awesome Resources for Advanced Computer Vision Topics

XCompress is a free file archiver utility on Linux, providing multi-format archiving to and extracting from ZIP, Z, GZIP, BZIP2, LZ, XZ, LZMA, 7ZIP, TAR, RAR and ZSTD.

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

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

A PyTorch implementation of ESPCN based on CVPR 2016 paper Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network.

SRDenseNet-pytorch（ICCV_2017）

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

Bicubic interpolation for images (Python)

Automatically apply AI Upscaling on Dumped Textures

Pytorch implementation for SRDenseNet (ICCV2017)