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DTSTAMP:20260114T163701Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T150000
DTEND;TZID=Australia/Melbourne:20231215T151500
UID:siggraphasia_SIGGRAPH Asia 2023_sess171_papers_775@linklings.com
SUMMARY:Slippage-Preserving Reshaping of Human-Made 3D Content
DESCRIPTION:Chrystiano Araújo (University of British Columbia); Nicholas V
 ining (University of British Columbia, NVIDIA); and Silver Burla, Manuel R
 uivo de Oliveira, Enrique Rosales, and Alla Sheffer (University of British
  Columbia)\n\nArtists often need to reshape 3D models of human-made object
 s by changing the relative proportions or scales of different model parts 
 or elements while preserving the look and structure of the inputs. Manuall
 y reshaping inputs to satisfy these criteria is highly time-consuming; the
  edit in our teaser took an artist 5 hours to complete. However, existing 
 methods for 3D shape editing are largely designed for other tasks and prod
 uce undesirable outputs when repurposed for reshaping. Prior work on 2D cu
 rve network reshaping suggests that in 2D settings the user-expected outco
 me is achieved when the reshaping edit keeps the orientations of the diffe
 rent model elements and when these elements scale as-locally-uniformly-as-
 possible (ALUP). However, our observations suggest that in 3D viewers are 
 tolerant of non-uniform tangential scaling if and when this scaling preser
 ves slippage and reduces changes in element size, or scale, relative to th
 e input. Slippage preservation requires surfaces which are locally slippab
 le with respect to a given rigid motion to retain this property post-resha
 ping (a motion is slippable if when applied to the surface, it slides the 
 shape along itself without gaps). We build on these observations by first 
 extending the 2D ALUP framework to 3D and then modifying it to allow non-u
 niform scaling while prioritizing slippage and scale preservation. Our 3D 
 ALUP extension produces reshaped outputs better aligned with viewer expect
 ations than prior alternatives; our slippage-aware method further improves
  the outcome producing results on par with manual reshaping ones. Our meth
 od does not require any user input beyond specifying control handles and t
 heir target locations. We validate our method by applying to over 100 dive
 rse inputs and by comparing our results to those generated by alternative 
 approaches and manually.\n\nRegistration Category: Full Access\n\nSession 
 Chair: Qixing Huang (University of Texas Austin)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_775&sess=sess171
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