Monthly Archives: January 2023

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 … Continue reading →

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 … Continue reading →

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 … Continue reading →

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 … Continue reading →