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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T164100
DTEND;TZID=Asia/Tokyo:20241204T165300
UID:siggraphasia_SIGGRAPH Asia 2024_sess122_papers_535@linklings.com
SUMMARY:Text-Guided Texturing by Synchronized Multi-View Diffusion
DESCRIPTION:Technical Papers\n\nYuxin Liu and Minshan Xie (Chinese Univers
 ity of Hong Kong); Hanyuan Liu (City University of Hong Kong); and Tien-Ts
 in Wong (Monash University, Chinese University of Hong Kong)\n\nThis paper
  introduces a novel approach to synthesize texture to dress up a given 3D 
 object, given a text prompt. \nBased on the pretrained text-to-image (T2I)
  diffusion model, existing methods usually employ a project-and-inpaint ap
 proach, in which a view of the given object is first generated and warped 
 to another view for inpainting. But it tends to generate inconsistent text
 ure due to the asynchronous diffusion of multiple views. We believe such a
 synchronous diffusion and insufficient information sharing among views are
  the root causes of the inconsistent artifact. \nIn this paper, we propose
  a synchronized multi-view diffusion approach that allows the diffusion pr
 ocesses from different views to reach a consensus on the generated content
  early in the process, and hence ensures the texture consistency. To synch
 ronize the diffusion, we share the denoised content among different views 
 in each denoising step, specifically blending the latent content in the te
 xture domain from views with overlap. Our method demonstrates superior per
 formance in generating consistent, seamless, highly detailed textures, com
 paring to state-of-the-art methods. Code of the paper will be release upon
  acceptance of the paper.\n\nRegistration Category: Full Access, Full Acce
 ss Supporter\n\nLanguage Format: English Language\n\nSession Chair: Minhyu
 k Sung (Korea Advanced Institute of Science and Technology (KAIST))
URL:https://asia.siggraph.org/2024/program/?id=papers_535&sess=sess122
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