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Plausible cloth animation using dynamic bending model

Progress in Natural Science:Materials International 2008年第7期18卷 879-885页

作者： Charlie C.L. Wang Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong China

Simulating the mechanical behavior of a cloth is a very challenging and important problem in computer animation. The models of bending in most existing cloth simulation approaches are taking the assumption that the cloth is little deformed from a plate shape. Therefore, based on the thin-plate theory, these bending models do not consider the condition that the current shape of the cloth under large deformations cannot be regarded as the approximation to that before deformation, which leads to an unreal static bending. [This paper introduces a dynamic bending model which is appropriate to describe large out-plane deformations such as cloth buckling and bending, and develops a compact implementation of the new model on spring-mass systems. Experimental results show that wrinkles and folds generated using this technique in cloth simulation, can appear and vanish in a more natural way than other approaches.]

关键词： cloth animation Physically based animation Bending

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Multi-Feature Super-Resolution Network for cloth Wrinkle Synthesis

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Journal of Computer Science & Technology 2021年第3期36卷 478-493页

作者： Lan Chen Juntao Ye Xiaopeng Zhang National Laboratory of Pattern Recognition Institute of AutomationChinese Academy of SciencesBeijing 100190China School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China Zhejiang Lab Hangzhou 311121China

Existing physical cloth simulators suffer from expensive computation and difficulties in tuning mechanical parameters to get desired wrinkling ***-driven methods provide an alternative *** typically synthesize cloth animation at a much lower computational cost,and also create wrinkling effects that are similar to the training *** this paper we propose a deep learning based method for synthesizing cloth animation with high resolution *** do this we first create a dataset for training:a pair of low and high resolution meshes are simulated and their motions are *** a result the two meshes exhibit similar large-scale deformation but different small *** simulated mesh pair is then converted into a pair of low-and high-resolution"images"(a 2D array of samples),with each image pixel being interpreted as any of three descriptors:the displacement,the normal and the *** these image pairs,we design a multi-feature super-resolution(MFSR)network that jointly trains an upsampling synthesizer for the three *** MFSR architecture consists of shared and task-specific layers to learn multi-level features when super-resolving three descriptors ***-to-frame consistency is well maintained thanks to the proposed kinematics-based loss *** method achieves realistic results at high frame rates:12-14 times faster than traditional physical *** demonstrate the performance of our method with various experimental scenes,including a dressed character with sophisticated collisions.

关键词： cloth animation deep learning multi-feature super-resolution wrinkle synthesis

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