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TZID:Asia/Hong_Kong
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S426+S427\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T152200
DTEND;TZID=Asia/Hong_Kong:20251215T153300
UID:siggraphasia_SIGGRAPH Asia 2025_sess110_papers_1768@linklings.com
SUMMARY:Fine-Grained Spatially Varying Material Selection in Images
DESCRIPTION:Julia Guerrero-Viu (Universidad de Zaragoza - I3A); Michael Fi
 scher, Iliyan Georgiev, and Elena Garces (Adobe Research); Diego Gutierrez
  and Belen Masia (Universidad de Zaragoza - I3A); and Valentin Deschaintre
  (Adobe Research)\n\nSelection is the first step in many image editing pro
 cesses, enabling faster and simpler modifications of all pixels sharing a 
 common modality. In this work, we present a method for material selection 
 in images, robust to lighting and reflectance variations, which can be use
 d for editing downstream tasks. We rely on vision transformer (ViT) models
  and process their features for selection, proposing a multi-resolution pr
 ocessing strategy that yields finer and more stable selection results than
  current methods. Furthermore, we enable selection at two levels: texture 
 and sub-texture, leveraging our novel two-level material selection (DuMaS)
  dataset, which includes dense annotations for over 800,000 synthetic imag
 es, both on the texture and subtexture levels.\n\nRegistration Category: F
 ull Access, Full Access Supporter\n\nSession Chair: Beibei Wang (Nanjing U
 niversity)\n\n
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