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

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

Pytorch implementation for SRDenseNet (ICCV2017)

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

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

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

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

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

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

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.

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

TOFlow: Video Enhancement with Task-Oriented Flow

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

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

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

A modern PyTorch implementation of SRGAN

A generic framework which implements some famouts super-resolution models

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

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。

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

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

Scale-wise Convolution for Image Restoration

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

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

A collection of tools for painting super-resolution images

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

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

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

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

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.

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

Super Resolution for Anime image, lightweight implementation

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

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

SwinIR: Image Restoration Using Swin Transformer (official repository)

Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016

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

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.

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

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 …

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

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

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

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

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

computational zoom from raw sensor data

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

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

Image Super-Resolution for Anime-Style Art

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

Bicubic interpolation for images (Python)

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.

Benchmark and resources for single super-resolution algorithms

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

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

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

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

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

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.

Keras Implementation of MIRNet - SoTA in Image Denoising, Super Resolution and Image Enhancement - CVPR 2020