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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250811T144000
DTEND;TZID=America/Los_Angeles:20250811T145000
UID:siggraph_SIGGRAPH 2025_sess126_papers_203@linklings.com
SUMMARY:OctGPT: Octree-based Multiscale Autoregressive Models for 3D Shape
  Generation
DESCRIPTION:Si-Tong Wei, Rui-Huan Wang, Chuan-Zhi Zhou, Baoquan Chen, and 
 Peng-Shuai Wang (Peking University)\n\nOctGPT is a novel multiscale autore
 gressive model for 3D shape generation. It introduces hierarchical seriali
 zed octree representation, octree-based transformer with 3D RoPE and token
 -parallel generation schemes. OctGPT significantly accelerates convergence
 , achieves performance rivaling or surpassing state-of-the-art diffusion m
 odels, and supports text/sketch/image-conditioned generation and scene-lev
 el synthesis.\n\nInterest Area: Research & Education\n\nRecording: Livestr
 eamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: 
 Full Conference, Virtual Access, Monday\n\nSession Chair: Nicholas Sharp (
 NVIDIA)\n\n
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