├── assets ├── teaser.jpg ├── data_pipeline.jpg ├── matanyone1vs2.jpg └── matanyone2_logo.png └── README.md /assets/teaser.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pq-yang/MatAnyone2/HEAD/assets/teaser.jpg -------------------------------------------------------------------------------- /assets/data_pipeline.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pq-yang/MatAnyone2/HEAD/assets/data_pipeline.jpg -------------------------------------------------------------------------------- /assets/matanyone1vs2.jpg: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pq-yang/MatAnyone2/HEAD/assets/matanyone1vs2.jpg -------------------------------------------------------------------------------- /assets/matanyone2_logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pq-yang/MatAnyone2/HEAD/assets/matanyone2_logo.png -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |
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3 | MatAnyone Logo 4 |

Scaling Video Matting via a Learned Quality Evaluator

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8 | Peiqing Yang1  9 | Shangchen Zhou1†  10 | Kai Hao1  11 | Qingyi Tao2  12 |
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14 | 1S-Lab, Nanyang Technological University  15 | 2SenseTime Research, Singapore  16 |
17 | Project lead 18 |
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36 | 37 | MatAnyone 2 is a practical human video matting framework that preserves fine details by avoiding segmentation-like boundaries, while also shows enhanced robustness under challenging real-world conditions. 38 | 39 |
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42 | 43 | :movie_camera: For more visual results, go checkout our project page 44 | 45 | --- 46 |
47 | 48 | 49 | ## 📮 Update 50 | - [2025.12] This repo is created. 51 | 52 | ## 🔎 Overview 53 | ![overall_structure](assets/matanyone1vs2.jpg) 54 | 55 | ## 🛠️ Data Pipeline 56 | ![data_pipeline](assets/data_pipeline.jpg) 57 | 58 | 59 | ## 📑 Citation 60 | 61 | If you find our repo useful for your research, please consider citing our paper: 62 | 63 | ```bibtex 64 | @InProceedings{yang2025matanyone2, 65 | title = {{MatAnyone 2}: Scaling Video Matting via a Learned Quality Evaluator}, 66 | author = {Yang, Peiqing and Zhou, Shangchen and Hao, Kai and Tao, Qingyi}, 67 | booktitle = {arXiv preprint arXiv:2512.11782}, 68 | year = {2025} 69 | } 70 | ``` 71 | 72 | ## 📧 Contact 73 | 74 | If you have any questions, please feel free to reach us at `peiqingyang99@outlook.com`. 75 | --------------------------------------------------------------------------------