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DTSTAMP:20260114T163650Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T114000
DTEND;TZID=Australia/Melbourne:20231214T124000
UID:siggraphasia_SIGGRAPH Asia 2023_sess150@linklings.com
SUMMARY:Navigating Shape Spaces
DESCRIPTION:Concept Decomposition for Visual Exploration and Inspiration\n
 \nA creative idea is often born from transforming, combining, and modifyin
 g ideas from existing visual examples capturing various concepts.\nHowever
 , one cannot simply copy the concept as a whole, and inspiration is achiev
 ed by examining certain aspects of the concept. Hence, it is often necessa
 ry to s...\n\n\nYael Vinker (Tel Aviv University, Google Research); Andrey
  Voynov (Google Research); Daniel Cohen-Or (Tel Aviv University, Google Re
 search); and Ariel Shamir (Reichman University)\n---------------------\nCL
 IPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration\n\nThis p
 aper presents CLIPXPlore, a new framework that leverages a vision-language
  model to guide the exploration of the 3D shape space. Many recent methods
  have been developed to encode 3D shapes into a learned latent shape space
  to enable generative design and modeling. Yet, existing methods lack ef..
 .\n\n\nJingyu Hu, Ka-Hei Hui, and Zhengzhe Liu (The Chinese University of 
 Hong Kong); Hao (Richard) Zhang (Simon Fraser University); and Chi-Wing Fu
  (The Chinese University of Hong Kong)\n---------------------\nReparamCAD:
  Zero-shot CAD Re-Parameterization for Interactive Manipulation\n\nParamet
 ric CAD models encode entire families of shapes that should, in principle,
  be easy for designers to explore, but are in practice difficult to manipu
 late due to implicit semantic constraints between parameter values. Findin
 g and enforcing these semantic constraints purely from geometry or prog...
 \n\n\nMilin Kodnongbua and Benjamin Jones (University of Washington), Maaz
  Bin Safeer Ahmad and Vladimir Kim (Adobe), and Adriana Schulz (University
  of Washington)\n---------------------\nExplorable Mesh Deformation Subspa
 ces from Unstructured 3D Generative Models\n\nExploring variations of 3D s
 hapes is a time-consuming process in traditional 3D modeling tools. Deep g
 enerative models of 3D shapes often feature continuous latent spaces that 
 can, in principle, be used to explore potential variations starting from a
  set of input shapes; in practice, doing so can be...\n\n\nArman Maesumi (
 Brown University); Paul Guerrero, Vladimir Kim, and Matthew Fisher (Adobe 
 Inc.); Siddhartha Chaudhuri (Adobe Inc.; Indian Institute of Technology (I
 IT), Bombay); Noam Aigerman (Adobe Inc.); and Daniel Ritchie (Brown Univer
 sity)\n---------------------\nGeoLatent: A Geometric Approach to Latent Sp
 ace Design for Deformable Shape Generators\n\nWe study how to optimize the
  latent space of neural shape generators that map latent codes to 3D defor
 mable shapes. The key focus is to look at a deformable shape generator fro
 m a differential geometry perspective. We define a Riemannian metric based
  on as-rigid-as-possible and as-conformal-as-possi...\n\n\nHaitao Yang, Bo
  Sun, Liyan Chen, Amy Pavel, and Qixing Huang (University of Texas at Aust
 in)\n\nRegistration Category: Full Access\n\nSession Chair: Peng-Shuai Wan
 g (Peking University)
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