super-resolution

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

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

Image Super-Resolution for Anime-Style Art

A High-Quality Real Time Upscaler for Anime Video

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

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.

An all-purpose window upscaler for Windows 10/11.

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

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.

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.

2^x Image Super-Resolution

A free and open-source inpainting & image-upscaling tool powered by webgpu and wasm on the browser。| 基于 Webgpu 技术和 wasm 技术的免费开源 inpainting & image-upscaling 工具, 纯浏览器端实现。

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

SwinIR: Image Restoration Using Swin Transformer (official repository)

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

Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

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

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

[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution