Project Title
CodeFormer — Robust Blind Face Restoration with Codebook Lookup Transformer
Overview
CodeFormer is an open-source Python project that focuses on robust blind face restoration using a Codebook Lookup Transformer. It stands out for its ability to enhance old photos, fix AI-arts, and restore faces in images and videos, leveraging a novel approach in the field of face enhancement and restoration.
Key Features
- Codebook Lookup Transformer for robust blind face restoration
- Face enhancement and restoration capabilities
- Face inpainting and colorization features for cropped and aligned face images
- Support for video input enhancement
- Online demo integrations with platforms like Hugging Face, Replicate, and OpenXLab
Use Cases
- Use case 1: Enhancing old photos and restoring faces in historical images
- Use case 2: Fixing AI-generated art that has face-related imperfections
- Use case 3: Improving the quality of faces in video content for better viewer experience
Advantages
- Advantage 1: State-of-the-art technology for blind face restoration
- Advantage 2: Supports a wide range of input types, including images and videos
- Advantage 3: Open-source and actively maintained with regular updates and new features
Limitations / Considerations
- Limitation 1: Requires specific hardware (Pytorch, CUDA) for optimal performance
- Limitation 2: May have limitations in handling faces with extreme occlusions or distortions
Similar / Related Projects
- Project 1: FaceSwap - A project focused on real-time face swapping, but does not specialize in restoration.
- Project 2: DeepFaceLab - A tool for creating deepfakes, which can be used for face manipulation but not specifically for restoration.
- Project 3: OpenCV - A comprehensive computer vision library that includes face detection but not the specific restoration capabilities of CodeFormer.
Basic Information
- GitHub: https://github.com/sczhou/CodeFormer
- Stars: 17,395
- License: Unknown
- Last Commit: 2025-08-20
Requirements:
- Pytorch >= 1.7.1
- CUDA >= 10.1
- Other required packages in
requirements.txt
📊 Project Information
- Project Name: CodeFormer
- GitHub URL: https://github.com/sczhou/CodeFormer
- Programming Language: Python
- ⭐ Stars: 17,395
- 🍴 Forks: 3,618
- 📅 Created: 2022-06-21
- 🔄 Last Updated: 2025-08-20
🏷️ Project Topics
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🔗 Related Resource Links
🎮 Online Demos
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📚 Documentation
🌐 Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis