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X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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DTSTART:18871231T000000
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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T164100
DTEND;TZID=Asia/Tokyo:20241205T165300
UID:siggraphasia_SIGGRAPH Asia 2024_sess136_papers_306@linklings.com
SUMMARY:DIScene: Object Decoupling and Interaction Modeling for Complex Sc
 ene Generation
DESCRIPTION:Technical Papers\n\nXiao-Lei Li (BNRist, Department of Compute
 r Science and Technology, Tsinghua University); Haodong Li (Hong Kong Univ
 ersity of Science and Technology, Guangzhou); and Hao-Xiang Chen, Tai-Jian
 g Mu, and Shi-Min Hu (BNRist, Department of Computer Science and Technolog
 y, Tsinghua University)\n\nThis paper reconsiders how to distill knowledge
  from pretrained 2D diffusion models to guide 3D asset generation, in part
 icular to generate complex 3D scenes: it should accept varied inputs, i.e.
 , texts or images, to allow for flexible expression of requirement; object
 s in the scene should be style-consistent and decoupled with clearly model
 ed interactions, benefiting downstream tasks. \n We propose DIScene, a nov
 el method for this task.It represents the entire 3D scene with a learnable
  structured scene graph: each node explicitly models an object with its ap
 pearance, textual description, transformation, geometry as a mesh attached
  with surface-aligned Gaussians;  the graph's edges model object interacti
 ons. \n With this new representation, objects are optimized in the canonic
 al space and interactions between objects are optimized by object-aware re
 ndering to avoid wrong back-propagation. \n Extensive experiments demonstr
 ate the significant utility  and superiority of our approach and that DISc
 ene can greatly facilitate 3D content creation tasks.\n\nRegistration Cate
 gory: Full Access, Full Access Supporter\n\nLanguage Format: English Langu
 age\n\nSession Chair: Manolis Savva (Simon Fraser University)
URL:https://asia.siggraph.org/2024/program/?id=papers_306&sess=sess136
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