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 of the core aspects of human self-expression – remains an open challenge. State-of-the-art physical simulation […]

Xudong Feng, Wenchao Huang, Weiwei Xu, Huamin Wang Real-world fabrics often possess complicated nonlinear, anisotropic bending stiffness properties. Measuring the physical parameters of such properties for physics-based simulation is difficult yet unnecessary, due to the persistent existence of numerical errors in simulation technology. In this work, we propose to adopt a simulation-in-the-loop strategy: instead of […]

Hugo Bertiche, Meysam Madadi, Sergio Escalera We present a general framework for the garment animation problem through unsupervised deep learning inspired in physically based simulation. Existing trends in the literature already explore this possibility. Nonetheless, these approaches do not handle cloth dynamics. Here, we propose the first methodology able to learn realistic cloth dynamics unsupervisedly, […]

Meng Zhang, Duygu Ceylan, Niloy J. Mitra Realistic dynamic garments on animated characters have many AR/VR applications. While authoring such dynamic garment geometry is still a challenging task, data-driven simulation provides an attractive alternative, especially if it can be controlled simply using the motion of the underlying character. In this work, we focus on motion […]

Ty Trusty, Danny M. Kaufman, David I. W. Levin We propose and explore a new method for the implicit time integration of elastica. Key to our approach is the use of a mixed variational principle. In turn, its finite element discretization leads to an efficient and accurate sequential quadratic programming solver with a superset of […]

Jiayi Eris Zhang, Jérémie Dumas, Yun (Raymond) Fei, Alec Jacobson, Doug L. James, Danny M. Kaufman The trade-off between speed and fidelity in cloth simulation is a fundamental computational problem in computer graphics and computational design. Coarse cloth models provide the interactive performance required by designers, but they can not be simulated at higher resolutions […]

Seung-wook Kim, JungHyun Han This paper presents a novel method for simulating inducible rigid magnets efficiently and stably. In the proposed method, inducible magnets are magnetized by a modified magnetization dynamics, so that the magnetic equilibrium can be obtained in a computationally efficient manner. Furthermore, our model of magnetic forces takes magnetization change into account […]

Huancheng Lin, Floyd M. Chitalu, Taku Komura Isotropic As-Rigid-As-Possible (ARAP) energy has been popular for shape editing, mesh parametrisation and soft-body simulation for almost two decades. However, a formulation using Cauchy-Green (CG) invariants has always been unclear, due to a rotation-polluted trace term that cannot be directly expressed using these invariants. We show how this […]

Julian Panetta, Haleh Mohammadian, Emiliano Luci, Vahid Babaei Objects with different shapes can dissolve in significantly different ways inside a solution. Predicting different shapes’ dissolution dynamics is an important problem especially in pharmaceutics. More important and challenging, however, is controlling the dissolution via shape, \ie, designing shapes that lead to a desired release behavior of […]

Mianlun Zheng*, Bohan Wang*, Jingtao Huang, Jernej Barbič (*joint first authors) Precision modeling of the hand internal musculoskeletal anatomy has been largely limited to individual poses, and has not been connected into continuous volumetric motion of the hand anatomy actuating across the hand’s entire range of motion. This is for a good reason, as hand […]