Coefficient Prediction for Physically-based Cloth Simulation Using Deep learning
Makara Mao,
Hongly Va,
Min Hong
Abstract:Physically-based cloth simulation involves modeling cloth as a collection of particles or nodes connected by various types of constraints. These particles interact with each other and the environment, such as gravity or collisions, to accurately simulate the cloth's behavior. One essential component of such simulations is the set of material parameters or coefficients that dictate the cloth's physical properties, such as stiffness and damping. Deep learning-based coefficient prediction in physically-based clot… Show more
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