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https://github.com/switchablenorms/CelebAMask-HQ

A large-scale face dataset for face parsing, recognition, generation and editing.
https://github.com/switchablenorms/CelebAMask-HQ

celeba face-generation face-recognition face-segmentation generative-adversarial-network

Last synced: about 1 month ago
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A large-scale face dataset for face parsing, recognition, generation and editing.

Host: GitHub
URL: https://github.com/switchablenorms/CelebAMask-HQ
Owner: switchablenorms
Created: 2019-04-01T06:35:34.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2024-06-20T04:33:41.000Z (6 months ago)
Last Synced: 2024-11-11T17:26:44.772Z (about 1 month ago)
Topics: celeba, face-generation, face-recognition, face-segmentation, generative-adversarial-network
Language: Python
Homepage:
Size: 41.5 MB
Stars: 2,120
Watchers: 47
Forks: 352
Open Issues: 58
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

Awesome-Face-Restoration - CelebAMask-HQ
StarryDivineSky - switchablenorms/CelebAMask-HQ - HQ 是一个大规模的人脸图像数据集，其中包含从 CelebA 数据集中选择的 30,000 张高分辨率人脸图像，遵循 CelebA-HQ。每个图像都有与 CelebA 相对应的面部属性的分割蒙版。CelebAMask-HQ 的面具以 512 x 512 的大小和 19 个类别手动注释，包括所有面部组件和配件，例如皮肤、鼻子、眼睛、眉毛、耳朵、嘴巴、嘴唇、头发、帽子、眼镜、耳环、项链、脖子和布料。CelebAMask-HQ 可用于训练和评估人脸解析、人脸识别和人脸生成和编辑的 GAN 算法。 (人像\姿势\3D人脸 / 网络服务_其他)

README

# CelebAMask-HQ

[[Paper]](https://arxiv.org/abs/1907.11922) [[Demo]](https://www.youtube.com/watch?v=T1o38DFalWs)

![image](https://github.com/switchablenorms/CelebAMask-HQ/blob/master/images/front.jpeg)

**CelebAMask-HQ** is a large-scale face image dataset that has **30,000** high-resolution face images selected from the CelebA dataset by following CelebA-HQ. Each image has segmentation mask of facial attributes corresponding to CelebA.

The masks of CelebAMask-HQ were manually-annotated with the size of **512 x 512** and **19 classes** including all facial components and accessories such as skin, nose, eyes, eyebrows, ears, mouth, lip, hair, hat, eyeglass, earring, necklace, neck, and cloth.

CelebAMask-HQ can be used to **train and evaluate algorithms of face parsing, face recognition, and GANs for face generation and editing**.

* If you need the identity labels and the attribute labels of the images, please send request to the [CelebA team](http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html).

* Demo of interactive facial image manipulation

![image](https://github.com/switchablenorms/CelebAMask-HQ/blob/master/images/demo.gif)

## Sample Images

![image](https://github.com/switchablenorms/CelebAMask-HQ/blob/master/images/sample.png)

## Face Manipulation Model with CelebAMask-HQ
CelebAMask-HQ can be used on several research fields including: facial image manipulation, face parsing, face recognition, and face hallucination. We showcase an application on interactive facial image manipulation as bellow:

* Samples of interactive facial image manipulation

![image](https://github.com/switchablenorms/CelebAMask-HQ/blob/master/images/sample_interactive.png)

## CelebAMask-HQ Dataset Downloads
* Google Drive: [downloading link](https://drive.google.com/open?id=1badu11NqxGf6qM3PTTooQDJvQbejgbTv)
* Baidu Drive: [downloading link](https://pan.baidu.com/s/1wN1E-B1bJ7mE1mrn9loj5g)

## Related Works
* **CelebA** dataset:

Ziwei Liu, Ping Luo, Xiaogang Wang and Xiaoou Tang, "Deep Learning Face Attributes in the Wild", in IEEE International Conference on Computer Vision (ICCV), 2015
* **CelebA-HQ** was collected from CelebA and further post-processed by the following paper :

Karras et. al, "Progressive Growing of GANs for Improved Quality, Stability, and Variation", in Internation Conference on Reoresentation Learning (ICLR), 2018

## Dataset Agreement
* The CelebAMask-HQ dataset is available for **non-commercial research purposes** only.
* You agree **not to** reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purposes, any portion of the images and any portion of derived data.
* You agree **not to** further copy, publish or distribute any portion of the CelebAMask-HQ dataset. Except, for internal use at a single site within the same organization it is allowed to make copies of the dataset.

## Related Projects using CelebAMask-HQ
* [SPADE-TensorFlow](https://github.com/taki0112/SPADE-Tensorflow)
* [FaceParsing-PyTorch](https://github.com/zllrunning/face-parsing.PyTorch)

## License and Citation
The use of this software is RESTRICTED to **non-commercial research and educational purposes**.
```
@inproceedings{CelebAMask-HQ,
title={MaskGAN: Towards Diverse and Interactive Facial Image Manipulation},
author={Lee, Cheng-Han and Liu, Ziwei and Wu, Lingyun and Luo, Ping},
booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2020}
}
```