Popular GitHub Repositories for Esrgan

? Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

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.

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

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

AI无损放大工具

Curated list of awesome resources for the Stable Diffusion AI Model.

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

Video Frame Interpolation & Super Resolution using NVIDIA's TensorRT & Tencent's NCNN inference, beautifully crafted and packaged into a single app

Lovely Real-ESRGAN / Real-CUGAN GUI Wrapper

Real-time anime upscaling to 4k in mpv with Real-ESRGAN compact models

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

Small-Object Detection in Remote Sensing (satellite) Images with End-to-End Edge-Enhanced GAN and Object Detector Network

web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD

A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.

PyTorch-based Super-Resolution and Restoration Image Processing Module for VapourSynth

Pre-made chains/templates for chaiNNer. Pytorch, NCNN, and ONNX included.

GUI for upscaling ONNX models with NVIDIA TensorRT and Vapoursynth

A simple implementation of esrgan, which uses the pytorch framework.

ESRGAN (Enhanced Super-Resolution Generative Adversarial Networks, published in ECCV 2018) implemented in Tensorflow 2.0+. This is an unofficial implementation. With Colab.