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DTSTAMP:20250522T212947Z
LOCATION:Mile High 2A
DTSTART;TZID=America/Denver:20240729T105500
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UID:siggraph_SIGGRAPH 2024_sess140_papers_657@linklings.com
SUMMARY:BlockFusion: Expandable 3D Scene Generation Using Latent Tri-plane
  Extrapolation
DESCRIPTION:Zhennan Wu (University of Tokyo); Yang Li (Tencent); Han Yan (
 Shanghai Jiao Tong University); Taizhang Shang, Weixuan Sun, and Senbo Wan
 g (Tencent); Ruikai Cui (Australian National University); Weizhe Liu (Tenc
 ent); Hiroyuki Sato (National Institute of Informatics, Japan; University 
 of Tokyo); and Hongdong Li and Pan Ji (Tencent)\n\nBlockFusion is a 3D dif
 fusion-based model that generates and expands 3D scenes using unit blocks.
  The denoising diffusion process allows high-quality and diverse scene gen
 eration and auto-regressive scene expansion. BlockFusion generates large, 
 high-quality 3D scenes for indoor and outdoor scenarios.\n\nInterest Area:
  Research & Education\n\nRecording: Livestreamed, Recorded\n\nKeyword: AI,
  Geometry, Modeling\n\nRegistration Category: Full Conference, Full Confer
 ence Supporter, Virtual Access, Exhibitor Full Conference, Monday\n\nSessi
 on Chair: Angela Dai (Technical University of Munich)\n\n
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