A Differentiable Material Point Method Framework for Shape Morphing
Michael Xu, Chang-Yong Song, David I. W. Levin, David Hyde

TL;DR
This paper introduces a differentiable material point method framework enabling complex elastic shape morphing with topology changes, optimized through iterative techniques for coherent and detailed transformations.
Contribution
It presents a novel physics-based, differentiable MPM approach for elastic shape morphing that handles topology changes and produces coherent sequences.
Findings
Successfully handles complex topology changes.
Produces detailed and coherent shape morphing sequences.
Demonstrates effectiveness across challenging scenarios.
Abstract
We present a novel, physically-based morphing technique for elastic shapes, leveraging the differentiable material point method (MPM) with space-time control through per-particle deformation gradients to accommodate complex topology changes. This approach, grounded in MPM's natural handling of dynamic topologies, is enhanced by a chained iterative optimization technique, allowing for the creation of both succinct and extended morphing sequences that maintain coherence over time. Demonstrated across various challenging scenarios, our method is able to produce detailed elastic deformation and topology transitions, all grounded within our physics-based simulation framework.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Materials and Mechanics · Modular Robots and Swarm Intelligence · Innovations in Concrete and Construction Materials
