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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260417T190037Z
LOCATION:West Building\, Level 2\, Outside Room 219
DTSTART;TZID=America/Los_Angeles:20250814T090000
DTEND;TZID=America/Los_Angeles:20250814T173000
UID:siggraph_SIGGRAPH 2025_sess437_pos_104@linklings.com
SUMMARY:40. Confidence Estimation of Few-Shot Patch-Based Learning for Ani
 me-Style Colorization
DESCRIPTION:Yuexiang Ji (The University of Tokyo); Akinobu Maejima (OLM Di
 gital, Inc.; IMAGICA GROUP Inc.); and Yotam Sechayk, Yuki Koyama, and Take
 o Igarashi (The University of Tokyo)\n\nThis study proposes a region-wise 
 confidence estimation method for anime-style line drawing colorization. By
  comparing local patches in the colorized image with training images using
  normalized cross-correlation, the method highlights uncertain regions. It
  improves usability by aiding artists in identifying colorization errors e
 fficiently and reliably.\n\nRegistration Category: Full Conference, Experi
 ence\n\n
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