167 Open source projects that are alternatives of or similar to Pytorch Zssr

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

The py version of toflow → https://github.com/anchen1011/toflow

Image Super-Resolution for Anime-Style Art

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

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Super Resolution of picture images using deep learning

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

A TensorFlow implementation of CVPR 2018 paper "Residual Dense Network for Image Super-Resolution".

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

Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

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

Video super resolution implemented in Pytorch

TOFlow: Video Enhancement with Task-Oriented Flow

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.

A modern PyTorch implementation of SRGAN

Awesome GAN for Medical Imaging

TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Frame-Recurrent Video Super-Resolution (official repository)

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

Image Super-Resolution Using Very Deep Residual Channel Attention Networks Implementation in Tensorflow

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

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

SwinIR: Image Restoration Using Swin Transformer (official repository)

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

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

A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction

Bicubic interpolation for images (Python)

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

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

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

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

Scale-wise Convolution for Image Restoration

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

Super-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

Real-time video quality improvement for applications such as video-chat using Perceptual Losses

Pytorch implementation for SRDenseNet (ICCV2017)

PyTorch on Super Resolution

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

Benchmark and resources for single super-resolution algorithms

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

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

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

Image Restoration Toolbox (PyTorch). Training and testing codes for USRNet, DnCNN, FFDNet, SRMD, DPSR, ESRGAN

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

Image, GIF and Video enlarger/upscaler achieved with waifu2x and Anime4K. [NO LONGER UPDATED]

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.

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

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

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

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.

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