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arXiv cs.GR
arXiv cs.GR Research
· 2 days, 18 hours ago • Zhiyang Dou, Ang Zhao, Chen Peng, Minghao Guo, Haixu Wu, Cheng Lin, Yuan Liu, Junfeng Yao, Xiaohu Guo, Wenping Wang, Wojciech Matusik

S4R: Scaling for Rigid-Body Interpenetration Resolution

Briefing

arXiv cs.GR details S4R, a scale-continuation method for static rigid-body interpenetration repair in procedurally assembled or generated scenes. The core idea is simple but practical: shrink each body to a collision-free starting scale, then grow back to full size through a sequence of minimum-norm convex contact QPs that solve a linearized separation problem along the way.

For developers building simulation-heavy tools, scene assembly pipelines, or generative content workflows, the appeal is in how S4R turns one hard deep-correction problem into many smaller shallow-contact steps. The method also uses a conservative scale-event bound and frozen-witness gap predictions to reduce exact mesh queries, then finishes with a full-scale evaluator check and bounded tail refinement.

The paper evaluates S4R on Kubric, HY3D-Bench, and Thingi10K with a shared mesh-level evaluator and unified timing protocol. In the main comparisons, it reports zero penetration up to 5,000 bodies, with displacement that stays small and nearly independent of scene size, while also landing at the lowest wall time within each hardware tier among the compared methods.

A GPU implementation extends the approach to larger scenes, which makes the work especially relevant for teams trying to keep authored or generated layouts physically plausible before handing them off to simulation, baking, or downstream runtime systems.

“S4R first uniformly shrinks each body... and then restores full scale”

— Paper abstract · Describes the continuation strategy
Original source
Read on arXiv cs.GR
At a glance
what
S4R is a scale-continuation method for rigid-body interpenetration resolution.
who
Zhiyang Dou and 10 coauthors; published on arXiv cs.GR.
when
Submitted on 17 Sep 2026.
impact
Could help content and tools teams repair overlaps in large generated scenes before simulation.
Signal Positive

Promising speed and accuracy for a hard geometry problem

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