https://github.com/zhkkke/ppm

A High-Quality Photograpy Portrait Matting Benchmark
https://github.com/zhkkke/ppm

benchmark portrait-matting

Last synced: about 1 month ago
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A High-Quality Photograpy Portrait Matting Benchmark

• Host: GitHub
• URL: https://github.com/zhkkke/ppm
• Owner: ZHKKKe
• Created: 2021-06-19T05:33:38.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-02-01T08:23:56.000Z (almost 2 years ago)
• Last Synced: 2023-03-05T05:44:31.286Z (almost 2 years ago)
• Topics: benchmark, portrait-matting
• Homepage:
• Size: 12.9 MB
• Stars: 74
• Watchers: 4
• Forks: 8
• Open Issues: 3
• Metadata Files:
  • Readme: README.md

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README

        


  



- A Photography Portrait Matting Benchmark - 




  News |

  Introduction |

  Download | 

  License | 

  Citation | 

  Contact





---

## News

- **[Jul 20 2021] PPM-100 Benchmark is Released!**  

  The benchmark with 100 finly-annotated, high-resolution images (PPM-100) is released. 

  

## Introduction

PPM is a portrait matting benchmark with the following characteristics:

- **Fine Annotation** - All images are labeled and checked carefully.

- **Natural Background** - All images use the original background without replacement.

- **Rich Diversity** - The images cover full/half body and various postures.

- **High Resolution** - The resolution of images is between 1080p and 4k.

Below is an example image:



## Download

Currently, PPM-100 used in the [MODNet](https://github.com/ZHKKKe/MODNet) paper is available.  

Note that few images used in the MODNet paper are replaced by similar images due to license issues.   

You can download PPM-100 from:  

[Google Drive](https://drive.google.com/file/d/1JUx-EPoV9QAhQgmW0AyOen-xKQUzZia-/view?usp=sharing) | [百度网盘 (提取码: PPMB)](https://pan.baidu.com/s/1iIeowdj6sdKSqW6qGnSb6A)

## License

All original portrait images in PPM are from [Flickr](https://www.flickr.com/) and constrained by [Flickr Creative Commons License (Commercial use & mods allowed)](https://www.flickr.com/creativecommons/).  

All annotated alpha mattes in PPM are released under the [Creative Commons Attribution NonCommercial ShareAlike 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode) license.  

## Citation

If you use this PPM benckmark, please cite:

```bibtex

@InProceedings{MODNet,

  author = {Zhanghan Ke and Jiayu Sun and Kaican Li and Qiong Yan and Rynson W.H. Lau},

  title = {MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition},

  booktitle = {AAAI},

  year = {2022},

}

```

## Contact

This repository is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)).  

If there is any question, please contact `[email protected]`.