Web: http://arxiv.org/abs/2112.03728

Jan. 14, 2022, 2:11 a.m. | Jinhyung Park, DoHae Lee, In-Kwon Lee

cs.LG updates on arXiv.org arxiv.org

Learning the physical dynamics of deformable objects with particle-based
representation has been the objective of many computational models in machine
learning. While several state-of-the-art models have achieved this objective in
simulated environments, most existing models impose a precondition, such that
the input is a sequence of ordered point sets. That is, the order of the points
in each point set must be the same across the entire input sequence. This
precondition restrains the model from generalizing to real-world data, which is
considered to be a sequence of unordered point sets. …

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