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

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

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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

A modern PyTorch implementation of SRGAN

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

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

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

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

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

Benchmark and resources for single super-resolution algorithms

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

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

TOFlow: Video Enhancement with Task-Oriented Flow

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.

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

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

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

Scale-wise Convolution for Image Restoration

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

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

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

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

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

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.

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

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

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

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

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

VDSR (CVPR2016) pytorch implementation

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

All image quality metrics you need in one package.

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

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

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

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

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

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

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

Repository for Google Summer of Code 2019 https://summerofcode.withgoogle.com/projects/#4662790671826944

Trainable models and NN optimization tools

traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.

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

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

Official repository of JSI-GAN (Accepted at AAAI 2020).

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

A Python implementation of RAISR

A Real-ESRGAN model trained on a custom dataset

A Pytorch implemented Deep SR-ITM (ICCV2019)

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

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

Image Super-Resolution for Anime-Style Art