CodeFormer
Face enhancer
A deep learning-based framework for enhancing and restoring images of faces in various conditions
[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
16k stars
305 watching
3k forks
Language: Python
last commit: 4 months ago
Linked from 3 awesome lists
codebookcodeformerface-enhancementface-restorationpytorchrestorationsuper-resolutionvqgan
Related projects:
Repository | Description | Stars |
---|---|---|
| An open-source software project that develops and provides tools for restoring degraded faces in images using Generative Pre-trained Networks. | 2,456 |
| An algorithm for restoring damaged or obscured faces in images | 36,009 |
| A video inpainting tool using deep learning models to remove objects or fill in missing parts of videos. | 5,749 |
| This project provides a deep learning-based pipeline for restoring degraded images | 3,445 |
| Image restoration toolbox with training and testing codes for various deep learning-based methods | 2,994 |
| An open-source framework for generating photorealistic animations driven by audio and reference images. | 4,718 |
| A comprehensive face recognition library designed to support various machine learning frameworks and applications. | 3,456 |
| A general-purpose face recognition system with deep neural networks. | 15,166 |
| A deep learning framework for creating customizable images through contrastive alignment and prompt-following. | 2,795 |
| An open-source C++ library implementing a high-speed face detection algorithm using CNN models. | 12,351 |
| A deep learning project that aims to align 3D facial landmarks in real-time with a focus on accuracy and efficiency. | 3,618 |
| A collection of pre-trained machine learning models for various natural language and computer vision tasks, enabling developers to fine-tune and deploy these models on their own projects. | 136,357 |
| Develops algorithms for practical image and video restoration using synthetic data | 28,800 |
| This repository provides implementations of neural networks used in cross-modal talking face generation | 258 |
| Enabling vision-language understanding by fine-tuning large language models on visual data. | 25,490 |