├── README.md └── doc └── image ├── example.png ├── logo.gif └── title.jpg /README.md: -------------------------------------------------------------------------------- 1 |
2 | 3 |
4 | 5 |
- A Photography Portrait Matting Benchmark -
6 | 7 | 8 | 9 |

10 | News | 11 | Introduction | 12 | Download | 13 | License | 14 | Citation | 15 | Contact 16 |

17 | 18 | 19 | 20 | --- 21 | 22 | ## News 23 | - **[Jul 20 2021] PPM-100 Benchmark is Released!** 24 | The benchmark with 100 finly-annotated, high-resolution images (PPM-100) is released. 25 | 26 | 27 | ## Introduction 28 | PPM is a portrait matting benchmark with the following characteristics: 29 | - **Fine Annotation** - All images are labeled and checked carefully. 30 | - **Natural Background** - All images use the original background without replacement. 31 | - **Rich Diversity** - The images cover full/half body and various postures. 32 | - **High Resolution** - The resolution of images is between 1080p and 4k. 33 | 34 | Below is an example image: 35 | 36 | 37 | 38 | 39 | 40 | 41 | ## Download 42 | Currently, PPM-100 used in the [MODNet](https://github.com/ZHKKKe/MODNet) paper is available. 43 | Note that few images used in the MODNet paper are replaced by similar images due to license issues. 44 | You can download PPM-100 from: 45 | [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) 46 | 47 | 48 | ## License 49 | 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/). 50 | 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. 51 | 52 | 53 | ## Citation 54 | If you use this PPM benckmark, please cite: 55 | 56 | ```bibtex 57 | @InProceedings{MODNet, 58 | author = {Zhanghan Ke and Jiayu Sun and Kaican Li and Qiong Yan and Rynson W.H. Lau}, 59 | title = {MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition}, 60 | booktitle = {AAAI}, 61 | year = {2022}, 62 | } 63 | ``` 64 | 65 | 66 | ## Contact 67 | This repository is currently maintained by Zhanghan Ke ([@ZHKKKe](https://github.com/ZHKKKe)). 68 | If there is any question, please contact `kezhanghan@outlook.com`. 69 | -------------------------------------------------------------------------------- /doc/image/example.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZHKKKe/PPM/459d0bfc456047679aa98972bed1bb5f379cba54/doc/image/example.png -------------------------------------------------------------------------------- /doc/image/logo.gif: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZHKKKe/PPM/459d0bfc456047679aa98972bed1bb5f379cba54/doc/image/logo.gif -------------------------------------------------------------------------------- /doc/image/title.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ZHKKKe/PPM/459d0bfc456047679aa98972bed1bb5f379cba54/doc/image/title.jpg --------------------------------------------------------------------------------