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DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250813T162500
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UID:siggraph_SIGGRAPH 2025_sess142_papers_599@linklings.com
SUMMARY:IP-Prompter: Training-Free Theme-Specific Image Generation via Dyn
 amic Visual Prompting
DESCRIPTION:Yuxin Zhang, Minyan Luo, and Weiming Dong (MAIS, Institute of 
 Automation, Chinese Academy of Sciences; School of Artificial Intelligence
 , University of Chinese Academy of Sciences); Xiao Yang, Haibin Huang, and
  Chongyang Ma (ByteDance Inc.); Oliver Deussen (University of Konstanz); T
 ong-Yee Lee (National Cheng-Kung University); and Changsheng Xu (MAIS, Ins
 titute of Automation, Chinese Academy of Sciences; School of Artificial In
 telligence, University of Chinese Academy of Sciences)\n\nThis paper prese
 nts T-Prompter, a method for visually prompting generative models to enabl
 e continuous image generation for specific themes, characters, and scenes.
  It introduces Dynamic Visual Prompting to enhance generation accuracy and
  quality, outperforming existing methods in maintaining character identity
 , style consistency, and text alignment.\n\nInterest Area: Research & Educ
 ation\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded
 \n\nRegistration Category: Full Conference, Virtual Access, Wednesday\n\nS
 ession Chair: Valentin Deschaintre (Adobe Research)\n\n
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