184 Open source projects that are alternatives of or similar to Real-ESRGAN-colab

AI无损放大工具

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

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.

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction

A dependency-free, single-file FLOSS unrar library

Official Python implementation of the 'Sparse deconvolution'-v0.3.0

A collection of tools for painting super-resolution images

Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)

Efficient ML Filter Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2, and Real-CUGAN)

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

A generic framework which implements some famouts super-resolution models

Quake 2 textures upscaled using ESRGAN and the Manga109Attempt model

Official repository of FISR (AAAI 2020).

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

Efficient & Generic Video Super-Resolution

Official repository of "Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution"

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

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

Real-ESRGAN function for VapourSynth

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

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.

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

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

A video analysis tool built completely in python.

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

Official implementation of block state-based recursive network (BSRN) for super-resolution in TensorFlow

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

天池2019阿里巴巴优酷视频增强和超分辨率挑战赛自用代码，EDVR、WDSR、ESRGAN三个模型。

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

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。

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

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

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

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

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

Simple realization of papers in oppo Research Institute super score competition.

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

ImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.

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

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

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

Multi-frame super-resolution via sub-pixel.

Open source single image super-resolution toolbox containing various functionality for training a diverse number of state-of-the-art super-resolution models. Also acts as the companion code for the IEEE signal processing letters paper titled 'Improving Super-Resolution Performance using Meta-Attention Layers’.

[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning

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

Super Resolution for Anime image, lightweight implementation

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

No description or website provided.

Setup scripts for ESRGAN/MXNet image/video upscaling in VapourSynth

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

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

XCompress is a free file archiver utility on Linux, providing multi-format archiving to and extracting from ZIP, Z, GZIP, BZIP2, LZ, XZ, LZMA, 7ZIP, TAR, RAR and ZSTD.

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

Denoise,HDR,Isppipeline,Image-processing(图形处理),camera, Isp ,HDRplus

SRDenseNet-pytorch（ICCV_2017）

AI Super - Resolution

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

Bicubic interpolation for images (Python)