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DTSTAMP:20250522T212944Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240731T155500
DTEND;TZID=America/Denver:20240731T160500
UID:siggraph_SIGGRAPH 2024_sess139_papers_325@linklings.com
SUMMARY:GEM3D: GEnerative Medial Abstractions for 3D Shape Synthesis
DESCRIPTION:Dmitrii Petrov, Pradyumn Goyal, and Vikas Thamizharasan (Unive
 rsity of Massachusetts Amherst); Vladimir Kim and Matheus Gadelha (Adobe R
 esearch); Melinos Averkiou (CYENS - Centre of Excellence, University of Cy
 prus); Siddhartha Chaudhuri (Adobe Research); and Evangelos Kalogerakis (U
 niversity of Massachusetts Amherst, CYENS - Centre of Excellence)\n\nWe in
 troduce GEM3D — a deep, topology-aware model for generating and reconstruc
 ting 3D shapes. Our key ingredient is a neural skeleton-based representati
 on compactly encoding both shape topology and geometry. Experiments show s
 ignificantly more faithful surface reconstruction and diverse shape genera
 tion compared to prior work, especially for structurally complex shapes.\n
 \nInterest Area: Research & Education\n\nRecording: Livestreamed, Recorded
 \n\nKeyword: Geometry, Modeling\n\nRegistration Category: Full Conference,
  Full Conference Supporter, Virtual Access, Exhibitor Full Conference, Wed
 nesday\n\nSession Chair: Haibin Huang (ByteDance Inc.)\n\n
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