167 Open source projects that are alternatives of or similar to Srgan

Real-World Super-Resolution via Kernel Estimation and Noise Injection

Official repository of FISR (AAAI 2020).

TensorFlow code for ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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

A Python implementation of RAISR

Efficient & Generic Video Super-Resolution

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

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

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

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

A Real-ESRGAN model trained on a custom dataset

Multi-frame super-resolution via sub-pixel.

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

AI无损放大工具

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

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.

VDSR (CVPR2016) pytorch implementation

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

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

SRDenseNet-pytorch（ICCV_2017）

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

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.

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

将任何窗口放大至全屏

All image quality metrics you need in one package.

Pytorch framework can easily implement srcnn algorithm with excellent performance

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

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

Code of our winning entry to NTIRE super-resolution challenge, CVPR 2018

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

Pytorch implementation for LapSRN (CVPR2017)

Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020)

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

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

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

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

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

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

A High-Quality Real Time Upscaler for Anime Video

A Caffe-based implementation of very deep convolution network for image super-resolution

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

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

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

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

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

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

A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018.

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

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’.

OpenMMLab Image and Video Editing Toolbox

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.

A video analysis tool built completely in python.

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)

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

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation

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