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

Video super resolution implemented in Pytorch

Benchmark and resources for single super-resolution algorithms

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

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

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

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.

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

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

PyTorch on Super Resolution

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

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

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

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.

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

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

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)

3D super-resolution using Generative Adversarial Networks

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

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

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

Applying SRGAN technique implemented in https://github.com/zsdonghao/SRGAN on videos to super resolve them.

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

Frame-Recurrent Video Super-Resolution (official repository)

TOFlow: Video Enhancement with Task-Oriented Flow

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

A modern PyTorch implementation of SRGAN

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

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

Super Resolution of picture images using deep learning

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

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

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

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

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

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

Bicubic interpolation for images (Python)

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

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

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

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

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

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

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

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

Pytorch implementation for LapSRN (CVPR2017)

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

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

Patch-base progressive 3D Point Set Upsampling

Trainable models and NN optimization tools