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DTSTAMP:20250522T212942Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240729T144000
DTEND;TZID=America/Denver:20240729T145000
UID:siggraph_SIGGRAPH 2024_sess110_papers_875@linklings.com
SUMMARY:Part123: Part-aware 3D Reconstruction From a Single-view Image
DESCRIPTION:Anran Liu, Cheng Lin, Yuan Liu, Xiaoxiao Long, and Zhiyang Dou
  (University of Hong Kong); Hao-Xiang Guo (Tsinghua University); Ping Luo 
 (University of Hong Kong); and Wenping Wang (Texas A&M University)\n\nThis
  paper proposes Part123, a novel framework for part-aware 3D reconstructio
 n from a single-view image. Based on the multiview images generated by mul
 tiview diffusion, we apply contrastive learning to incorporate their 2D im
 age segmentations into the 3D reconstruction process, thus enabling the ge
 neration of 3D models with high-quality part segments.\n\nInterest Area: R
 esearch & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: Geome
 try, Modeling\n\nRegistration Category: Full Conference, Full Conference S
 upporter, Virtual Access, Exhibitor Full Conference, Monday\n\nSession Cha
 ir: Kari Pulli (Google)\n\n
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