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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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DTSTAMP:20260817T171530Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241203T151900
DTEND;TZID=Asia/Tokyo:20241203T153100
UID:siggraphasia_SIGGRAPH Asia 2024_sess108_papers_225@linklings.com
SUMMARY:Inverse Painting: Reconstructing The Painting Process
DESCRIPTION:Bowei Chen, Yifan Wang, Brian Curless, Ira Kemelmacher-Shlizer
 man, and Steven M. Seitz (University of Washington)\n\nGiven an input pain
 ting, we reconstruct a time-lapse video of how it may be painted.  We form
 ulate this as an autoregressive image generation problem, in which an init
 ially blank "canvas'' is iteratively updated. The model learns from real a
 rtists by training on many painting videos.\nOur approach incorporates tex
 t and region understanding to define a set of painting "instructions'' and
  updates the canvas with a novel diffusion-based renderer. The method extr
 apolates beyond the limited, acrylic style paintings on which it has been 
 trained to show plausible results for a wide range of artistic styles and 
 genres.\n\nRegistration Category: Full Access, Full Access Supporter\n\nLa
 nguage Format: English Language\n\nSession Chair: I-Chao Shen (The Univers
 ity of Tokyo)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_225&sess=sess108
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