SCA 2024 - Posters

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https://diglib.eg.org/handle/10.2312/3607034

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Browsing SCA 2024 - Posters by Subject "Computing methodologies → Physical simulation"

Now showing 1 - 3 of 3
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    Adaptive Sampling for Simulating Granular Materials
    (The Eurographics Association, 2024) Gupta, Samraat; Keyser, John; Zordan, Victor
    We present a method for generating simulations of granular materials more quickly within a position based dynamics framework. We do this by combining an adaptive particle sampling scheme with an upsampling approach. This allows for faster simulations in interactive applications, while maintaining visual resolution. Particles are merged or split based on their distance from the boundary, allowing for high details in areas of importance such as the surface and edges. Merging particles into a single particle reduces the number of particles for which collisions have to be simulated, thus reducing the overall simulation time. The adaptive sampling technique is then combined with an upsampling scheme that gives the coarser particle simulation the appearance of much finer resolution.
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    Learning Climbing Controllers for Physics-Based Characters
    (The Eurographics Association, 2024) Kang, Kyungwon; Gu, Taehong; Kwon, Taesoo; Zordan, Victor
    We propose a physics-based climbing controller that consists of two learning stages. Firstly, a hanging policy is trained to grasp holds in a natural posture. Once the policy is obtained, it is used to extract the positions of the holds, postures, and grip states, thus forming a dataset of favorable hanging poses. Subsequently, a climbing policy is trained to execute actual climbing maneuvers using this hanging state dataset. The climbing policy allows the character to move to the target location using limbs more evenly. Experiments have shown that the proposed method can effectively explore the space of good postures for climbing.
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    Smoothed-Hinge Model for Cloth Simulation
    (The Eurographics Association, 2024) Liang, Qixin; Zordan, Victor
    We present a smoothed-hinge model for cloth simulation, incorporating a smoothed-hinge membrane (SHM) and a smoothedhinge bending (SHB) component, both found on a triangle-centered elemental patch. SHB derives the directional curvatures across the hinge edges and transforms them into the curvature components used in the continuum shell such that the bending energy can be computed accordingly. Using the corotational method with a small strain/curvature assumption ensures a constant Hessian matrix which enhances the efficiency and stability of implicit solvers. The SHM model, based on a quadratic interpolation scheme, samples membrane strains at the mid-points of hinge edges to address sharp creasing artifacts arising from the locking issue, offering smoother gradients on hinge edges compared to traditional constant strain triangle elements. Incremental potential contact (IPC) manages contact and friction. Our model enriches the family of computational models for realistic cloth simulation, providing a stable and accurate method applicable across diverse clothing scenarios.