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.
APACHE-2.0 License
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
An arbitrary face-swapping framework on images and videos with one single trained model!
Easily train or fine-tune SOTA computer vision models with one open source training library. The ...
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source ...
Effortless data labeling with AI support from Segment Anything and other awesome models.
Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - ...
[CVPR'22] ICON: Implicit Clothed humans Obtained from Normals
Stable Diffusion web UI
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, ...
Bringing Old Photo Back to Life (CVPR 2020 oral)
[ICCV 2023] DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.