Presentation
40. Confidence Estimation of Few-Shot Patch-Based Learning for Anime-Style Colorization
DescriptionThis 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 efficiently and reliably.
Event Type
Poster
TimeSunday, 10 August 20259:00am - 5:30pm PDT
LocationWest Building, Level 2, Outside Room 219
Session TimeSunday, 10 August 20259:00am - 5:30pm PDTMonday, 11 August 20259:00am - 5:30pm PDTTuesday, 12 August 20259:00am - 5:30pm PDTWednesday, 13 August 20259:00am - 5:30pm PDTThursday, 14 August 20259:00am - 5:30pm PDT
LocationWest Building, Level 2, Outside Room 219
