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DTSTAMP:20260817T171532Z
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:Sam Sartor and Pieter Peers (College of William & Mary)\n\nWe 
 present a novel and flexible learning-based method for generating tileable
  image sets.  Our method goes beyond simple self-tiling, supporting sets o
 f mutually tileable images that exhibit a high degree of diversity.  To pr
 omote diversity we decouple structure from content by foregoing explicit c
 opying of patches from an exemplar image.  Instead we leverage the prior k
 nowledge of natural images and textures embedded in large-scale pretrained
  diffusion models to guide tile generation constrained by exterior boundar
 y conditions and a text prompt to specify the content. By carefully design
 ing and selecting the exterior boundary conditions, we can reformulate the
  tile generation process as an inpainting problem, allowing us to directly
  employ existing diffusion-based inpainting models without the need to ret
 rain a model on a custom training set. We demonstrate the flexibility and 
 efficacy of our content-aware tile generation method on different tiling s
 chemes, such as Wang tiles, from only a text prompt.  Furthermore, we intr
 oduce a novel Dual Wang tiling scheme that provides greater texture contin
 uity and diversity than existing Wang tile variants.\n\nRegistration Categ
 ory: Full Access, Full Access Supporter\n\nLanguage Format: English Langua
 ge\n\nSession Chair: Dani Lischinski (Hebrew University of Jerusalem, Goog
 le)\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_970&sess=sess116
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