Self-Supervised Humidity-Controllable Garment Simulation via Capillary Bridge Modeling
文献类型：期刊论文
| 作者 | Shi, M.1; Wang, X.1; Zhang, J.2; Gao, L.3; Zhu, D.3,4; Zhang, H.5 |
| 刊名 | COMPUTER GRAPHICS FORUM
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 44期号:7页码:10 |
| 关键词 | CCS Concepts center dot Computing methodologies -> Animation |
| ISSN号 | 0167-7055 |
| DOI | 10.1111/cgf.70236 |
| 英文摘要 | Simulating wet clothing remains a significant challenge due to the complex physical interactions between moist fabric and the human body, compounded by the lack of dedicated datasets for training data-driven models. Existing self-supervised approaches struggle to capture moisture-induced dynamics such as skin adhesion, anisotropic surface resistance, and non-linear wrinkling, leading to limited accuracy and efficiency. To address this, we present SHGS, a novel self-supervised framework for humidity-controllable clothing simulation grounded in the physical modeling of capillary bridges that form between fabric and skin. We abstract the forces induced by wetness into two physically motivated components: a normal adhesive force derived from Laplace pressure and a tangential shear-resistance force that opposes relative motion along the fabric surface. By formulating these forces as potential energy for conservative effects and as mechanical work for non-conservative effects, we construct a physics-consistent wetness loss. This enables self-supervised training without requiring labeled data of wet clothing. Our humidity-sensitive dynamics are driven by a multi-layer graph neural network, which facilitates a smooth and physically realistic transition between different moisture levels. This architecture decouples the garment's dynamics in wet and dry states through a local weight interpolation mechanism, adjusting the fabric's behavior in response to varying humidity conditions. Experiments demonstrate that SHGS outperforms existing methods in both visual fidelity and computational efficiency, marking a significant advancement in realistic wet-cloth simulation. |
| 资助项目 | Suzhou Science and Technology Program |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:001590874700001 |
| 出版者 | WILEY |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/41678]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Shi, M. |
| 作者单位 | 1.North China Elect Power Univ, Sch Control & Comp Engn, Baoding, Peoples R China 2.Beihang Univ, State Key Lab Virtual Real Technol & Syst, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 4.Taicang ZK Inst Informat & Technol, Taicang, Peoples R China 5.Beijing Inst Fash Technol, Sch Mat Design & Engn, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, M.,Wang, X.,Zhang, J.,et al. Self-Supervised Humidity-Controllable Garment Simulation via Capillary Bridge Modeling[J]. COMPUTER GRAPHICS FORUM,2025,44(7):10. |
| APA | Shi, M.,Wang, X.,Zhang, J.,Gao, L.,Zhu, D.,&Zhang, H..(2025).Self-Supervised Humidity-Controllable Garment Simulation via Capillary Bridge Modeling.COMPUTER GRAPHICS FORUM,44(7),10. |
| MLA | Shi, M.,et al."Self-Supervised Humidity-Controllable Garment Simulation via Capillary Bridge Modeling".COMPUTER GRAPHICS FORUM 44.7(2025):10. |
入库方式： OAI收割
来源：计算技术研究所
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