Add dataset card for SynHairMan (#1)

- Add dataset card for SynHairMan (efd627b1be9e3ea0ef0fb522c5af9df09b801ad2)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

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+---
+task_categories:
+- image-segmentation
+license: bsd-2-clause
+tags:
+- video-matting
+- synthetic-data
+- human-body
+- hair-segmentation
+---
+
+# SynHairMan: Synthetic Video Matting Dataset
+
+This repository contains the `SynHairMan` dataset, which was introduced in the paper [Generative Video Matting](https://huggingface.co/papers/2508.07905).
+
+**Project Page:** [https://yongtaoge.github.io/project/gvm](https://yongtaoge.github.io/project/gvm)
+**GitHub Repository:** [https://github.com/aim-uofa/GVM](https://github.com/aim-uofa/GVM)
+
+## Dataset Description
+
+The `SynHairMan` dataset addresses the challenge of limited high-quality ground-truth data in video matting. It is a large-scale synthetic and pseudo-labeled segmentation dataset developed through a scalable data generation pipeline. This pipeline renders diverse human bodies and fine-grained hairs, yielding approximately 200 video clips, each with a 3-second duration.
+
+The dataset is specifically designed for pre-training and fine-tuning video matting models, aiming to improve their generalization capabilities in real-world scenarios and ensuring strong temporal consistency by bridging the domain gap between synthetic and real-world scenes.
+
+## License
+
+For academic usage, this project is licensed under the [2-clause BSD License](https://github.com/aim-uofa/GVM/blob/main/LICENSE). For commercial inquiries, please contact Chunhua Shen (chhshen@gmail.com).
+
+## Citation
+
+If you find this dataset helpful for your research, please cite the original paper:
+
+```bibtex
+@inproceedings{ge2025gvm,
+author = {Ge, Yongtao and Xie, Kangyang and Xu, Guangkai and Ke, Li and Liu, Mingyu and Huang, Longtao and Xue, Hui and Chen, Hao and Shen, Chunhua},
+title = {Generative Video Matting},
+publisher = {Association for Computing Machinery},
+url = {https://doi.org/10.1145/3721238.3730642},
+doi = {10.1145/3721238.3730642},
+booktitle = {Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers},
+series = {SIGGRAPH Conference Papers '25}
+}
+```