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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030653Z
LOCATION:Meeting Room S426+S427\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T150000
DTEND;TZID=Asia/Hong_Kong:20251215T151100
UID:siggraphasia_SIGGRAPH Asia 2025_sess110_papers_1415@linklings.com
SUMMARY:Example-Based Feature Painting on Textures
DESCRIPTION:Andrei-Timotei Ardelean and Tim Weyrich (Friedrich-Alexander-U
 niversität Erlangen-Nürnberg)\n\nIn this work, we propose a system that co
 vers the complete workflow for achieving controlled authoring and editing 
 of textures that present distinctive local characteristics. These include 
 various effects that change the surface appearance of materials, such as s
 tains, tears, holes, abrasions, discoloration, and more. Such alterations 
 are ubiquitous in nature, and including them in the synthesis process is c
 rucial for generating realistic textures.\nWe introduce a novel approach f
 or creating textures with such blemishes, adopting a learning-based approa
 ch that leverages unlabeled examples. Our approach does not require manual
  annotations by the user; instead, it detects the appearance-altering feat
 ures through unsupervised anomaly detection. The various textural features
  are then automatically clustered into semantically coherent groups, which
  are used to guide the conditional generation of images.\nOur pipeline as 
 a whole goes from a small image collection to a versatile generative model
  that enables the user to interactively create and paint features on textu
 res of arbitrary size. Notably, the algorithms we introduce for diffusion-
 based editing and infinite stationary texture generation are generic and s
 hould prove useful in other contexts as well.\n\nRegistration Category: Fu
 ll Access, Full Access Supporter\n\nSession Chair: Beibei Wang (Nanjing Un
 iversity)\n\n
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