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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 211-214
DTSTART;TZID=America/Los_Angeles:20250811T093000
DTEND;TZID=America/Los_Angeles:20250811T094000
UID:siggraph_SIGGRAPH 2025_sess102_papers_531@linklings.com
SUMMARY:Order Matters: Learning Element Ordering for Graphic Design Genera
 tion
DESCRIPTION:Bo Yang and Ying Cao (ShanghaiTech University)\n\nWe propose a
  Generative Order Learner (GOL) that optimizes element ordering for graphi
 c design generation. Our approach learns a content-aware neural order, whi
 ch can significantly improve graphic generation quality, generalize across
  different types of generative models and help design generators scale up 
 greatly.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed
 , Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full 
 Conference, Virtual Access, Monday\n\nSession Chair: Yotam Gingold (George
  Mason University)\n\n
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