172 Open source projects that are alternatives of or similar to SRGAN-PyTorch

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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

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

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

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

Super Resolution for Anime image, lightweight implementation

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

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

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

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

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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.

Pytorch implementation for LapSRN (CVPR2017)

Efficient & Generic Video Super-Resolution

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

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

A High-Quality Real Time Upscaler for Anime Video

Official repository of FISR (AAAI 2020).

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

SRDenseNet-pytorch（ICCV_2017）

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

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

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.

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

OpenMMLab Image and Video Editing Toolbox

Multi-frame super-resolution via sub-pixel.

将任何窗口放大至全屏

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

computational zoom from raw sensor data

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

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

AI无损放大工具

ICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation

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。

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.

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

Pytorch implementation of Deep Face Super-Resolution with Iterative Collaboration between Attentive Recovery and Landmark Estimation (CVPR 2020)

A collection of tools for painting super-resolution images

PyTorch codes for "Progressive Semantic-Aware Style Transformation for Blind Face Restoration"

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

A pytorch implementation of Paper "Wavelet-srnet: A wavelet-based cnn for multi-scale face super resolution"

A generic framework which implements some famouts super-resolution models

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

A Caffe Implementation of SRGAN

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

Deep CNN for learning image restoration without clean data!

Video super resolution implemented in Pytorch

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.

PyTorch on Super Resolution

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

Frame-Recurrent Video Super-Resolution (official repository)

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

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

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

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。

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