There are 245 repositories under super-resolution topic.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
[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.
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.
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。
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
SwinIR: Image Restoration Using Swin Transformer (official repository)
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.
Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Awesome GAN for Medical Imaging
QualityScaler - image/video AI upscaler app
AI magics meet Infinite draw board.
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
AI无损放大工具
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Sharpen your low-resolution pictures with the power of AI upscaling
VRT: A Video Restoration Transformer (official repository)
Converted CoreML Model Zoo.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
An Android application for super-resolution & interpolation. Contains RealSR-NCNN, SRMD-NCNN, RealCUGAN-NCNN, Real-ESRGAN-NCNN, Waifu2x-NCNN, Anime4kcpp, nearest, bilinear, bicubic, AVIR...