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

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

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

Implementation of RAISR (Rapid and Accurate Image Super Resolution) algorithm in Python 3.x by Jalali Laboratory at UCLA. The implementation presented here achieved performance results that are comparable to that presented in Google's research paper (with less than ± 0.1 dB in PSNR). Just-in-time (JIT) compilation employing JIT numba is used to …

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

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

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

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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

computational zoom from raw sensor data

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

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution" (ECCV 2018).

A modern PyTorch implementation of SRGAN

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

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

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.

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)

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

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

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

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

An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

Bicubic interpolation for images (Python)

GPU-accelerated Levenberg-Marquardt curve fitting in CUDA

A generic framework which implements some famouts super-resolution models

Video super resolution implemented in Pytorch

TOFlow: Video Enhancement with Task-Oriented Flow

PyTorch on Super Resolution

只要蘊藏著想成為真物的意志，偽物就比真物還要來得真實。

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

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

Frame-Recurrent Video Super-Resolution (official repository)

Super-Resolution imaging with Convolutional Neural Network library for G++, Non-OpenCV model.

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

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

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

Neighborhood Regression for Edge-Preserving Image Super-Resolution (ICASSP 2015)

EDSR, RCAN, SRGAN, SRFEAT, ESRGAN

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

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

A collection of tools for painting super-resolution images

Awesome GAN for Medical Imaging

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

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

This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution

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

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.

A TensorFlow-based image super-resolution model considering both quantitative and perceptual quality

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

SwinIR: Image Restoration Using Swin Transformer (official repository)

Single image example-based super resolution. Improves the spatial and temporal resolution of an image using a direct mapping of LR HR patch pairs. C++, openCV.

VDSR (CVPR2016) pytorch implementation

All image quality metrics you need in one package.

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

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

SRZoo: An integrated repository for super-resolution using deep learning

tf.image.resize_images has aliasing when downsampling and does not have gradients for bicubic mode. This implementation fixes those problems.