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Chang-Yong Song

dblp:387/9140 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0000-0002-2495-1383ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computer animation and physical simulation · 50% Geometric modeling and processing · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer animation and physical simulation › particle-based simulation
material point method
0.912025
A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025
Geometric modeling and processing › shape deformation
shape morphing
0.912025
A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025
Geometric modeling and processing
deformation
0.312025
A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025
Computer animation and physical simulation › deformable body simulation
elastic deformation
0.312025
A Differentiable Material Point Method Framework for Shape Morphing · IEEE Trans. Vis. Comput. Graph. 2025

Methods — techniques the papers use, named apart from their topics

differentiable simulation · 0.9chained iterative optimization · 0.9
YearPublicationVenuePosition
2025 A Differentiable Material Point Method Framework for Shape Morphing
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.
Michael Xu, Chang-Yong Song, David I. W. Levin, David Hyde 0001
IEEE Trans. Vis. Comput. Graph.2