Physics-aware machine learning revolutionizes scientific paradigm for machine learning and process-based hydrology

Q Xu, Y Shi, J Bamber, Y Tuo, R Ludwig… - arXiv preprint arXiv …, 2023 - arxiv.org
Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …

Combating Spurious Correlations in Loose‐fitting Garment Animation Through Joint‐Specific Feature Learning

J Diao, J Xiao, Y He, H Jiang - Computer Graphics Forum, 2023 - Wiley Online Library
We address the 3D animation of loose‐fitting garments from a sequence of body motions.
State‐of‐the‐art approaches treat all body joints as a whole to encode motion features …

Clothcombo: Modeling inter-cloth interaction for draping multi-layered clothes

D Lee, H Kang, IK Lee - ACM Transactions on Graphics (TOG), 2023 - dl.acm.org
We present ClothCombo, a pipeline to drape arbitrary combinations of clothes on 3D human
models with varying body shapes and poses. While existing learning-based approaches for …

Garment3DGen: 3D Garment Stylization and Texture Generation

N Sarafianos, T Stuyck, X Xiang, Y Li, J Popovic… - arXiv preprint arXiv …, 2024 - arxiv.org
We introduce Garment3DGen a new method to synthesize 3D garment assets from a base
mesh given a single input image as guidance. Our proposed approach allows users to …

Neural Garment Dynamic Super-Resolution

M Zhang, J Li - SIGGRAPH Asia 2024 Conference Papers, 2024 - dl.acm.org
Achieving efficient, high-fidelity, high-resolution garment simulation is challenging due to its
computational demands. Conversely, low-resolution garment simulation is more accessible …

Virtual Measurement Garment for Per-Garment Virtual Try-On

Z Wu, J Liu, T Chong, IC Shen, T Igarashi - Proceedings of the 50th …, 2024 - dl.acm.org
The popularity of virtual try-on methods has increased in recent years as they allow users to
preview the appearance of garments on themselves without physically wearing them …