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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250813T161500
DTEND;TZID=America/Los_Angeles:20250813T162500
UID:siggraph_SIGGRAPH 2025_sess142_papers_265@linklings.com
SUMMARY:InstanceGen: Image Generation with Instance-level Instructions
DESCRIPTION:Etai Sella (Tel Aviv University, Meta); Yanir Kleiman (Meta); 
 and Hadar Averbuch-Elor (Cornell Tech)\n\nWe propose InstanceGen - a new t
 echnique for improving Text-to-Image models ability to generate images for
  prompts describing multiple objects, attributes and spatial relationships
 . InstanceGen requires no training or additional user inputs and achieves 
 state-of-the art results in terms of both accuracy and visual quality on t
 hese highly challenging prompts.\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegi
 stration Category: Full Conference, Virtual Access, Wednesday\n\nSession C
 hair: Valentin Deschaintre (Adobe Research)\n\n
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