🧰 Image Tools
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
RetinaFace: Deep Face Detection Library for Python
[Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
Official PyTorch repo for JoJoGAN: One Shot Face Stylization
OpenMMLab Text Detection, Recognition and Understanding Toolbox
Cross-platform, customizable ML solutions for live and streaming media.
[AAAI 2022] The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow"
Instant neural graphics primitives: lightning fast NeRF and more
VRT: A Video Restoration Transformer (official repository)
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…
Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
[CVPR 2022] VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
[WACV 2023] Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023
Restorers provide out-of-the-box TensorFlow implementations of SoTA image and video restoration models for tasks such as low-light enhancement, denoising, deblurring, super-resolution, etc.
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Depth Pro: Sharp Monocular Metric Depth in Less Than a Second.



