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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250813T112500
DTEND;TZID=America/Los_Angeles:20250813T113500
UID:siggraph_SIGGRAPH 2025_sess152_papers_1195@linklings.com
SUMMARY:MonetGPT: Solving Puzzles Enhances MLLMs’ Image Retouching Skills
DESCRIPTION:Niladri Shekhar Dutt (University College London (UCL)); Duygu 
 Ceylan (Adobe); and Niloy Mitra (University College London (UCL), Adobe)\n
 \nMonetGPT explores using multimodal large language models (MLLMs) for pho
 to retouching by injecting domain knowledge via visual puzzles. These puzz
 les help MLLMs understand individual operations,  visual aesthetics, and g
 enerate expert plans. Our procedural pipeline enables explainable edits wi
 th detailed reasoning for the plan and individual operations.\n\nInterest 
 Area: Research & Education\n\nRecording: Livestreamed, Not Livestreamed, R
 ecorded, Not Recorded\n\nRegistration Category: Full Conference, Virtual A
 ccess, Wednesday\n\nSession Chair: Or Patashnik (Tel Aviv University, Snap
  Research)\n\n
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