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UID:siggraph_SIGGRAPH 2024_sess132_papers_341@linklings.com
SUMMARY:GaussianPrediction: Dynamic 3D Gaussian Prediction for Motion Extr
 apolation and Free View Synthesis
DESCRIPTION:Boming Zhao and Yuan Li (State Key Laboratory of CAD & CG, Zhe
 jiang University); Ziyu Sun (Jilin University); Lin Zeng (State Key Labora
 tory of CAD & CG, Zhejiang University); Yujun Shen (Ant Group); Rui Ma (Ji
 lin University); Yinda Zhang (Google); and Hujun Bao and Zhaopeng Cui (Sta
 te Key Laboratory of CAD & CG, Zhejiang University)\n\nWe present a novel 
 framework, GaussianPrediction, for forecasting future scenarios in dynamic
  scenes. GaussianPrediction employs a 3D Gaussian canonical space with def
 ormation modeling and lifecycle property to represent changes effectively.
  Additionally, a novel concentric motion distillation technique with key p
 oints simplifies complex scene motion prediction with a GCN.\n\nInterest A
 rea: Research & Education\n\nRecording: Livestreamed, Recorded\n\nRegistra
 tion Category: Full Conference, Full Conference Supporter, Virtual Access,
  Exhibitor Full Conference, Wednesday\n\nSession Chair: Min H. Kim (Korea 
 Advanced Institute of Science and Technology (KAIST))\n\n
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