167 Open source projects that are alternatives of or similar to Rcan Tensorflow

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

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

A Python implementation of RAISR

VDSR (CVPR2016) pytorch implementation

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

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.

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

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

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

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

Pytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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

All image quality metrics you need in one package.

A Pytorch implemented Deep SR-ITM (ICCV2019)

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

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

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

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

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

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

A Real-ESRGAN model trained on a custom dataset

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

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

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.

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

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

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.

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

Scale-wise Convolution for Image Restoration

TOFlow: Video Enhancement with Task-Oriented Flow

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

A modern PyTorch implementation of SRGAN

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

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

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

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

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

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 Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

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

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Benchmark and resources for single super-resolution algorithms

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

Image Super-Resolution for Anime-Style Art

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

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

Bicubic interpolation for images (Python)

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

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

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

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

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

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

Trainable models and NN optimization tools

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

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