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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20240214T070311Z
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:Technical Papers\n\nCLIPXPlore: Coupled CLIP and Shape Spaces 
 for 3D Shape Exploration\n\nThis paper presents CLIPXPlore, a new framewor
 k that leverages a vision-language model to guide the exploration of the 3
 D shape space. Many recent methods have been developed to encode 3D shapes
  into a learned latent shape space to enable generative design and modelin
 g. Yet, existing methods lack ef...\n\n\nJingyu Hu, Ka-Hei Hui, and Zhengz
 he Liu (The Chinese University of Hong Kong); Hao (Richard) Zhang (Simon F
 raser University); and Chi-Wing Fu (The Chinese University of Hong Kong)\n
 ---------------------\nReparamCAD: Zero-shot CAD Re-Parameterization for I
 nteractive Manipulation\n\nParametric CAD models encode entire families of
  shapes that should, in principle, be easy for designers to explore, but a
 re in practice difficult to manipulate due to implicit semantic constraint
 s between parameter values. Finding and enforcing these semantic constrain
 ts purely from geometry or prog...\n\n\nMilin Kodnongbua and Benjamin Jone
 s (University of Washington), Maaz Bin Safeer Ahmad and Vladimir Kim (Adob
 e), and Adriana Schulz (University of Washington)\n---------------------\n
 Explorable Mesh Deformation Subspaces from Unstructured 3D Generative Mode
 ls\n\nExploring variations of 3D shapes is a time-consuming process in tra
 ditional 3D modeling tools. Deep generative models of 3D shapes often feat
 ure continuous latent spaces that can, in principle, be used to explore po
 tential variations starting from a set of input shapes; in practice, doing
  so can be...\n\n\nArman Maesumi (Brown University); Paul Guerrero, Vladim
 ir Kim, and Matthew Fisher (Adobe Inc.); Siddhartha Chaudhuri (Adobe Inc.;
  Indian Institute of Technology (IIT), Bombay); Noam Aigerman (Adobe Inc.)
 ; and Daniel Ritchie (Brown University)\n---------------------\nConcept De
 composition for Visual Exploration and Inspiration\n\nA creative idea is o
 ften born from transforming, combining, and modifying ideas from existing 
 visual examples capturing various concepts.\nHowever, one cannot simply co
 py the concept as a whole, and inspiration is achieved by examining certai
 n aspects of the concept. Hence, it is often necessary to s...\n\n\nYael V
 inker (Tel Aviv University, Google Research); Andrey Voynov (Google Resear
 ch); Daniel Cohen-Or (Tel Aviv University, Google Research); and Ariel Sha
 mir (Reichman University)\n---------------------\nGeoLatent: A Geometric A
 pproach to Latent Space Design for Deformable Shape Generators\n\nWe study
  how to optimize the latent space of neural shape generators that map late
 nt codes to 3D deformable shapes. The key focus is to look at a deformable
  shape generator from a differential geometry perspective. We define a Rie
 mannian 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 (Univers
 ity of Texas at Austin)\n\nRegistration Category: Full Access\n\nSession C
 hair: Peng-Shuai Wang (Peking University)
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