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DTSTAMP:20260817T171531Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241206T150800
DTEND;TZID=Asia/Tokyo:20241206T151900
UID:siggraphasia_SIGGRAPH Asia 2024_sess149_papers_691@linklings.com
SUMMARY:Enhancing the Aesthetics of 3D Shapes via Reference-based Editing
DESCRIPTION:Minchan Chen and Manfred Lau (City University of Hong Kong)\n\
 nWhile there have been previous works that explored methods to enhance the
  aesthetics of images, the automated beautification of 3D shapes has been 
 limited to specific shapes such as 3D face models. In this paper, we intro
 duce a framework to automatically enhance the aesthetics of general 3D sha
 pes. Our approach employs a reference-based beautification strategy. We fi
 rst performed data collection to gather the aesthetics ratings of various 
 3D shapes to create a 3D shape aesthetics dataset. Then we perform referen
 ce-based editing to edit the input shape and beautify it by making it look
  more like some reference shape that is aesthetic. Specifically, we propos
 e a reference-guided global deformation framework to coherently deform the
  input shape such that its structural proportions will be closer to those 
 of the reference shape. We then optionally transplant some local aesthetic
  parts from the reference to the input to obtain the beautified output sha
 pes. Comparisons show that our reference-guided 3D deformation algorithm o
 utperforms existing techniques. Furthermore, quantitative and qualitative 
 evaluations demonstrate that the performance of our aesthetics enhancement
  framework is consistent with both human perception and existing 3D shape 
 aesthetics assessment.\n\nRegistration Category: Full Access, Full Access 
 Supporter\n\nLanguage Format: English Language\n\nSession Chair: Valentin 
 Deschaintre (Adobe Research)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_691&sess=sess149
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