
简介 / About
CodeFormer是一款基于深度学习技术,特别是利用自动编码器和VQGAN(Vector Quantised Generative Adversarial Network)进行人脸修复和视频增强的强大人工智能工具。它通过高分辨率重建和细节修复,显著提升了图像和视频的质量和视觉效果。CodeFormer不仅适用于单人、多人图像的处理,还具备彩色化和破损修复的功能,其Transformer模型增强了鲁棒性,能够处理各种复杂的人脸图像和视频问题。
CodeFormer is a powerful artificial intelligence tool based on deep learning techniques, particularly utilizing autoencoders and VQGAN (Vector Quantified Generative Adversarial Network) for face restoration and video enhancement. It significantly improves the quality and visual effects of images and videos through high-resolution reconstruction and detail restoration. CodeFormer is not only suitable for processing single person and multi person images, but also has the functions of colorization and damage repair. Its Transformer model enhances robustness and can handle various complex facial image and video problems.




主要功能 / MAJOR FUNCTION
高分辨率重建
CodeFormer可以去除图像和视频中的噪声、马赛克等损坏区域,恢复并增强原始图像的细节和色彩。
High resolution reconstruction: CodeFormer can remove damaged areas such as noise and mosaic in images and videos, restore and enhance the details and colors of the original image.
细节修复
通过自动编码器实现人脸的变换,包括色彩化、清晰化、去马赛克等功能,使得修复后的人脸更加真实。
Detail restoration: Using an autoencoder to transform the face, including colorization, clarity, and demosaicing, making the restored face more realistic.
彩色化和破损修复
对黑白图片或单色背景图片进行彩色化处理,对破碎或毁坏的图片进行修复。
Colorization and damage repair: Colorize black and white images or monochrome background images, and repair broken or damaged images.
视频增强
处理视频中的模糊、抖动、颜色失真等问题,提升视频的清晰度和稳定性,并支持视频的超分辨率重建。
Video enhancement: deals with issues such as blur, jitter, and color distortion in videos, improves video clarity and stability, and supports super-resolution reconstruction of videos.
版本更新历程
Version update process
项目创建
This repo is created..
发布人脸修复的推理代码
Release inference code for face restoration.
集成Real-ESRGAN以支持背景图像增强
Integrate Real-ESRGAN to support background image enhancement.
添加面部上采样–face_upsample用于高分辨率人工智能创建的面部增强。
Add face upsampling –face_upsample for high-resolution AI-created face enhancement.
包括dlib作为一种新的人脸检测器选项,它可以产生更准确的人脸身份
Include dlib as a new face detector option, it produces more accurate face identity.
为裁剪的人脸图像添加修复和着色功能
Add features of inpainting and colorization for cropped face images.
支持合作
Collaborative Support





