Monthly Archives: January 2023

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 →

José Antonio Fernández-Fernández, Lukas Westhofen, Fabian Löschner, Stefan Rhys Jeske, Andreas Longva, Jan Bender We present a new octree-based neighborhood search method for SPH simulation. A speedup of up to 1.9x is observed in comparison to state-of-the-art methods which rely … Continue reading →

Sadashige Ishida,Chris Wojtan,Albert Chern This paper presents a new representation of curve dynamics, with applications to vortex filaments in fluid dynamics. Instead of representing these filaments with explicit curve geometry and Lagrangian equations of motion, we represent curves implicitly with … Continue reading →

Yifei Li, Tao Du, Sangeetha Grama Srinivasan, Kui Wu, Bo Zhu, Eftychios Sifakis, Wojciech Matusik Fluidic devices are crucial components in many industrial applications involving fluid mechanics. Computational design of a high-performance fluidic system faces multifaceted challenges regarding its geometric … Continue reading →

Donglai Xiang, Timur Bagautdinov, Tuur Stuyck, Fabian Prada, Javier Romero, Weipeng Xu, Shunsuke Saito, Jingfan Guo, Breannan Smith, Takaaki Shiratori, Yaser Sheikh, Jessica Hodgins, Chenglei Wu Despite recent progress in developing animatable full-body avatars, realistic modeling of clothing – one … Continue reading →