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BEGIN:VEVENT
DTSTAMP:20250522T212946Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240801T095000
DTEND;TZID=America/Denver:20240801T100000
UID:siggraph_SIGGRAPH 2024_sess142_papers_261@linklings.com
SUMMARY:Object-level Scene Deocclusion
DESCRIPTION:Zhengzhe Liu (The Chinese University of Hong Kong); Qing Liu (
 Adobe Research); Chirui Chang (University of Hong Kong); Jianming Zhang, D
 aniil Pakhomov, Haitian Zheng, and Zhe Lin (Adobe Research); Daniel Cohen-
 Or (Tel Aviv University); and Chi-Wing Fu (The Chinese University of Hong 
 Kong)\n\nIn this paper, we present a new self-supervised framework, named 
 PACO, for object-level scene deocclusion to  deocclude each of the objects
  of a real-world scene. Our approach allows multiple downstream applicatio
 ns, including scene-level, single-image 3D reconstruction and object rearr
 angement in images and 3D scenes.\n\nInterest Area: Research & Education\n
 \nRecording: Not Livestreamed, Not Recorded\n\nRegistration Category: Full
  Conference, Full Conference Supporter, Virtual Access, Exhibitor Full Con
 ference, Thursday\n\nSession Chair: Cecilia Zhang (Adobe, University of Ca
 lifornia Berkeley)\n\n
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