GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
- Updated
Jul 26, 2024 - Python
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
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.
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"
[IJCV2024] Exploiting Diffusion Prior for Real-World Image Super-Resolution
QualityScaler - image/video AI upscaler app
Misc; latest version of waifu2x; 2D video to stereo 3D video conversion
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
VRT: A Video Restoration Transformer (official repository)
Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
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