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DTSTAMP:20240214T070250Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T150000
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UID:siggraphasia_SIGGRAPH Asia 2023_sess171_papers_775@linklings.com
SUMMARY:Slippage-Preserving Reshaping of Human-Made 3D Content
DESCRIPTION:Technical Papers\n\nChrystiano Araújo (University of British C
 olumbia); Nicholas Vining (University of British Columbia, NVIDIA); and Si
 lver Burla, Manuel Ruivo de Oliveira, Enrique Rosales, and Alla Sheffer (U
 niversity of British Columbia)\n\nArtists often need to reshape 3D models 
 of human-made objects by changing the relative proportions or scales of di
 fferent model parts or elements while preserving the look and structure of
  the inputs. Manually 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 produce undesirable outputs when repurposed for reshaping.
  Prior work on 2D curve network reshaping suggests that in 2D settings the
  user-expected outcome is achieved when the reshaping edit keeps the orien
 tations of the different model elements and when these elements scale as-l
 ocally-uniformly-as-possible (ALUP). However, our observations suggest tha
 t in 3D viewers are tolerant of non-uniform tangential scaling if and when
  this scaling preserves slippage and reduces changes in element size, or s
 cale, relative to the input. Slippage preservation requires surfaces which
  are locally slippable with respect to a given rigid motion to retain this
  property post-reshaping (a motion is slippable if when applied to the sur
 face, it slides the shape along itself without gaps). We build on these ob
 servations by first extending the 2D ALUP framework to 3D and then modifyi
 ng it to allow non-uniform scaling while prioritizing slippage and scale p
 reservation. Our 3D ALUP extension produces reshaped outputs better aligne
 d with viewer expectations than prior alternatives; our slippage-aware met
 hod further improves the outcome producing results on par with manual resh
 aping ones. Our method does not require any user input beyond specifying c
 ontrol handles and their target locations. We validate our method by apply
 ing to over 100 diverse inputs and by comparing our results to those gener
 ated by alternative approaches and manually.\n\nRegistration Category: Ful
 l Access\n\nSession Chair: Qixing Huang (University of Texas at Austin)
URL:https://asia.siggraph.org/2023/full-program?id=papers_775&sess=sess171
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