commit 7bc6350ee5e210f5decf758256debf5709cc9606
Author: pq-yang <peiqing001@e.ntu.edu.sg>
Date:   Mon Dec 15 12:24:13 2025 +0800

    first commit

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+<div align="center">
+<div style="text-align: center;">
+    <img src="./assets/matanyone2_logo.png" alt="MatAnyone Logo" style="height: 52px;">
+    <h2>Scaling Video Matting via a Learned Quality Evaluator</h2>
+</div>
+
+<div>
+    <a href='https://pq-yang.github.io/' target='_blank'>Peiqing Yang</a><sup>1</sup>&emsp;
+    <a href='https://shangchenzhou.com/' target='_blank'>Shangchen Zhou</a><sup>1</sup>&emsp;
+    <a href="https://www.linkedin.com/in/kai-hao-794321382/" target='_blank'>Kai Hao</a><sup>1</sup>&emsp;
+    <a href="https://scholar.google.com.sg/citations?user=fMXnSGMAAAAJ&hl=en/" target='_blank'>Qingyi Tao</a><sup>2</sup>&emsp;
+</div>
+<div>
+    <sup>1</sup>S-Lab, Nanyang Technological University&emsp; 
+    <sup>2</sup>SenseTime Research, Singapore&emsp; 
+</div>
+
+
+<div>
+    <h4 align="center">
+        <a href="https://pq-yang.github.io/projects/MatAnyone2/" target='_blank'>
+        <img src="https://img.shields.io/badge/😈-Project%20Page-blue">
+        </a>
+        <a href="https://arxiv.org/abs/2512.11782" target='_blank'>
+        <img src="https://img.shields.io/badge/arXiv-2501.14677-b31b1b.svg">
+        </a>
+        <a href="https://www.youtube.com/watch?v=tyi8CNyjOhc&lc=Ugw1OS7z5QbW29RZCFZ4AaABAg" target='_blank'>
+        <img src="https://img.shields.io/badge/Demo%20Video-%23FF0000.svg?logo=YouTube&logoColor=white">
+        </a>
+        </a>
+        <img src="https://api.infinitescript.com/badgen/count?name=sczhou/MatAnyone2&ltext=Visitors&color=3977dd">
+    </h4>
+</div>
+
+<strong>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.</strong>
+
+<div style="width: 100%; text-align: center; margin:auto;">
+    <img style="width:100%" src="assets/teaser.jpg">
+</div>
+
+:movie_camera: For more visual results, go checkout our <a href="https://pq-yang.github.io/projects/MatAnyone2/" target="_blank">project page</a>
+
+---
+</div>
+
+
+## 📮 Update
+- [2025.12] This repo is created.
+
+## 🔎 Overview
+![overall_structure](assets/matanyone1vs2.jpg)
+
+## 🛠️ Data Pipeline
+![data_pipeline](assets/data_pipeline.jpg)
+
+
+## 📑 Citation
+
+   If you find our repo useful for your research, please consider citing our paper:
+
+   ```bibtex
+  @InProceedings{yang2025matanyone2,
+      title     = {{MatAnyone 2}: Scaling Video Matting via a Learned Quality Evaluator},
+      author    = {Yang, Peiqing and Zhou, Shangchen and Hao, Kai and Tao, Qingyi},
+      booktitle = {arXiv preprint arXiv:2512.11782},
+      year      = {2025}
+}
+   ```
+
+## 📧 Contact
+
+If you have any questions, please feel free to reach us at `peiqingyang99@outlook.com`. 
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