Albert Chern
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Articles (8)
Year:
2025
Year:
2025
Year:
2024
Year:
2024
Year:
2024
Year:
2024
We address the problem of synthesizing physical animations that can loop seamlessly. We formulate a variational approach by deriving a physical law in a periodic time domain. The trajectory of the animation is represented as a parametric closed curve, and the physical law corresponds to minimizing the bending energy of the curve. Compared to traditional keyframe animation approaches, our formulation is constraint-free, which allows us to apply a standard Gauss--Newton solver. We further propose a fast projection method to efficiently generate an initial guess close to the desired animation. Our method can handle a variety of physical cyclic animations, including clothes, soft bodies with collisions, and N-body systems.
Year:
2023
Year:
2023
Collaborators (2)
Justin Solomon
Massachusetts Institute of Technology
David Saintillan
Professor
University of California, San Diego
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