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

TOFlow: Video Enhancement with Task-Oriented Flow

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

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

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

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

Scale-wise Convolution for Image Restoration

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

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

Bicubic interpolation for images (Python)

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

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

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

A modern PyTorch implementation of SRGAN

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

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

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

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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

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

Image Super-Resolution for Anime-Style Art

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.

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

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

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

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

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

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

VDSR (CVPR2016) pytorch implementation

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

All image quality metrics you need in one package.

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

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

Trainable models and NN optimization tools

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

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

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

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

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

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

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

A Pytorch implemented Deep SR-ITM (ICCV2019)

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

A Python implementation of RAISR

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

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

A Real-ESRGAN model trained on a custom dataset

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

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

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

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

TensorFlow implementation of the Efficient Sub-Pixel Convolutional Neural Network

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

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

Benchmark and resources for single super-resolution algorithms

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