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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T172800
DTEND;TZID=Asia/Tokyo:20241204T174000
UID:siggraphasia_SIGGRAPH Asia 2024_sess121_papers_946@linklings.com
SUMMARY:FragmentDiff: A Diffusion Model for Fractured Object Assembly
DESCRIPTION:Technical Papers\n\nQun-Ce Xu and Hao-Xiang Chen (BNRist, Depa
 rtment of Computer Science and Technology, Tsinghua University); Jiacheng 
 Hua (Department of Computer Science and Technology, Tsinghua University); 
 Xiaohua Zhan (Department of Foreign Languages and Literatures, Tsinghua Un
 iversity); Yong-Liang Yang (Department of Computer Science, University of 
 Bath); and Tai-Jiang Mu (BNRist, Department of Computer Science and Techno
 logy, Tsinghua University)\n\nFractured object reassembly is a challenging
  problem in computer vision and graphics with applications in industrial m
 anufacturing and archaeology. Traditional methods based on shape descripto
 rs and geometric registration often struggle with ambiguous features, resu
 lting in lower accuracy. To address this, we propose a novel approach insp
 ired by diffusion models and 3D transformers. Our method applies diffusion
  denoising combined with a 3D transformer to predict the pose parameter of
  each fragment. We evaluate our approach on a fractured object dataset and
  demonstrate superior performance compared to state-of-the-art methods. Ou
 r method offers a promising solution for accurate and robust fractured obj
 ect reassembly, advancing the field of computer vision in complex shape an
 alysis and assembly tasks.\n\nRegistration Category: Full Access, Full Acc
 ess Supporter\n\nLanguage Format: English Language\n\nSession Chair: Nobuy
 uki Umetani (University of Tokyo)
URL:https://asia.siggraph.org/2024/program/?id=papers_946&sess=sess121
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