🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
-
Updated
Dec 21, 2024 - TypeScript
🆙 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.
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, 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.
ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
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
PyTorch implementation of Real-ESRGAN model
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
A curated list of awesome Diffusion notebooks, tools, software, tutorials and resources.
web UI for GPU-accelerated ONNX pipelines like Stable Diffusion, even on Windows and AMD
The Upscayl backend powered by the NCNN framework and Real-ESRGAN architecture.
PyTorch-based Super-Resolution and Restoration Image Processing Module for VapourSynth
Add a description, image, and links to the esrgan topic page so that developers can more easily learn about it.
To associate your repository with the esrgan topic, visit your repo's landing page and select "manage topics."