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DTSTAMP:20240214T070241Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_158@linklings.com
SUMMARY:EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D
  Shape Generation
DESCRIPTION:Technical Papers\n\nZhengzhe Liu, Jingyu Hu, and Ka-Hei Hui (T
 he Chinese University of Hong Kong); Xiaojuan Qi (The University of Hong K
 ong); Daniel Cohen-Or (Tel-Aviv University); and Chi-Wing Fu (The Chinese 
 University of Hong Kong)\n\nThis paper presents a new text-guided techniqu
 e for generating 3D shapes. The technique leverages a hybrid 3D shape repr
 esentation, combining the strengths of explicit and implicit representatio
 ns. Specifically, the explicit stage controls the generated topology of th
 e 3D shape and allows local manipulations, while the implicit stage refine
 s the shape and paints it with plausible colors. Also, the hybrid approach
  separates shape and color, ensuring shape-color consistency. Unlike exist
 ing state-of-the-art methods, our technique achieves high-fidelity shape g
 eneration from natural-language descriptions without the need for time-con
 suming per-shape optimization or reliance on human-annotated texts during 
 training or test-time optimization. Furthermore, we demonstrate the extens
 ion of our approach to generate indoor scenes with consistent styles using
  text-induced 3D shapes. Through extensive experiments, we demonstrate the
  compelling quality of our results and the high coherency of our generated
  shapes with the input texts, surpassing the performance of existing metho
 ds by a significant margin.\n\nRegistration Category: Full Access, Enhance
 d Access, Trade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_158&sess=sess209
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