Author Archives: christopherbatty

Tianxing Li, Rui Shi, Takashi Kanai This paper presents a novel learning-based clothing deformation method to generate rich and reasonable detailed deformations for garments worn by bodies of various shapes in various animations. In contrast to existing learning-based methods, which … Continue reading →

Carlos Rodriguez-Pardo, Melania Prieto-Martin, Dan Casas, Elena Garces We propose a method to estimate the mechanical parameters of fabrics using a casual capture setup with a depth camera. Our approach enables to create mechanically-correct digital representations of real-world textile materials, … Continue reading →

Katja Wolff, Philipp Herholz, Verena Ziegler, Frauke Link, Nico Brügel, Olga Sorkine-Hornung The standardized sizes used in the garment industry do not cover the range of individual differences in body shape for most people, leading to ill-fitting clothes, high return … Continue reading →

Differentiable Depth for Real2Sim Calibration of Soft Body Simulations How Will it Drape? Capturing Fabric Mechanics from Depth Images Physics-Informed Neural Corrector for Deformation-based Fluid Control An Optimization-based SPH Solver for Simulation of Hyperelastic Solids Monolithic Friction and Contact Handling … Continue reading →

Bo Ren, Xiaohan Ye, Zherong Pan, Taiyuan Zhang We propose a learning-based controller for high-dimensional dynamic systems with coupled fluid and solid objects. The dynamic behaviors of such systems can vary across different simulators and the control tasks subject to … Continue reading →

Joshua Aurand, Raphaël Oritz, Sylvia Nauer, Vinicius Azevedo Artistically controlling fluids has always been a challenging task. Recently, volumetric Neural Style Transfer (NST) techniques have been used to artistically manipulate smoke simulation data with 2D images. In this work, we … Continue reading →

Haoyu Hu, Xinyu Yi, Hao Zhang, Jun-Hai Yong, Feng Xu Single view-based reconstruction of hand-object interaction is challenging due to the severe observation missing caused by occlusions. This paper proposes a physics-based method to better solve the ambiguities in the … Continue reading →

Tetsuya Takahashi, Christopher Batty Simultaneous coupling of diverse physical systems poses significant computational challenges in terms of speed, quality, and stability. Rather than treating all components with a single discretization methodology (e.g., smoothed particles, material point method, Eulerian grid, etc.) … Continue reading →

Jingrui Xing*, Liangwang Ruan*, Bin Wang, Bo Zhu, Baoquan Chen (*joint first authors) This paper presents a novel approach to simulating surface tension flow within a position-based dynamics (PBD) framework. We enhance the conventional PBD fluid method in terms of … Continue reading →

Jumyung Chang, Ruben Partono, Vinicius C. Azevedo, Christopher Batty We propose to augment standard grid-based fluid solvers with pointwise divergence-free velocity interpolation, thereby ensuring exact incompressibility down to the sub-cell level. Our method takes as input a discretely divergence-free velocity … Continue reading →