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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T135800
DTEND;TZID=Asia/Tokyo:20241204T140900
UID:siggraphasia_SIGGRAPH Asia 2024_sess116_papers_970@linklings.com
SUMMARY:Content-aware Tile Generation using Exterior Boundary Inpainting
DESCRIPTION:Technical Papers\n\nSam Sartor and Pieter Peers (College of Wi
 lliam & Mary)\n\nWe present a novel and flexible learning-based method for
  generating tileable image sets.  Our method goes beyond simple self-tilin
 g, supporting sets of mutually tileable images that exhibit a high degree 
 of diversity.  To promote diversity we decouple structure from content by 
 foregoing explicit copying of patches from an exemplar image.  Instead we 
 leverage the prior knowledge of natural images and textures embedded in la
 rge-scale pretrained diffusion models to guide tile generation constrained
  by exterior boundary conditions and a text prompt to specify the content.
  By carefully designing and selecting the exterior boundary conditions, we
  can reformulate the tile generation process as an inpainting problem, all
 owing us to directly employ existing diffusion-based inpainting models wit
 hout the need to retrain a model on a custom training set. We demonstrate 
 the flexibility and efficacy of our content-aware tile generation method o
 n different tiling schemes, such as Wang tiles, from only a text prompt.  
 Furthermore, we introduce a novel Dual Wang tiling scheme that provides gr
 eater texture continuity and diversity than existing Wang tile variants.\n
 \nRegistration Category: Full Access, Full Access Supporter\n\nLanguage Fo
 rmat: English Language\n\nSession Chair: Dani Lischinski (Hebrew Universit
 y of Jerusalem, Google)
URL:https://asia.siggraph.org/2024/program/?id=papers_970&sess=sess116
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