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LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240729T143000
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UID:siggraph_SIGGRAPH 2024_sess108_papers_1105@linklings.com
SUMMARY:Streetscapes: Large-scale Consistent Street View Generation Using 
 Autoregressive Video Diffusion
DESCRIPTION:Boyang Deng (Stanford University, Google Research); Richard Tu
 cker and Zhengqi Li (Google Research); Leonidas Guibas (Stanford Universit
 y, Google Research); Noah Snavely (Google Research, Cornell University); a
 nd Gordon Wetzstein (Stanford University)\n\nOur method generates Streetsc
 apes — long sequences of views through a synthesized city-scale scene. We 
 build on video diffusion models, but in an autoregressive framework that e
 asily scales to long camera trajectories. We train our system on the uniqu
 e Google Street View data, allowing controlling generations by scene layou
 ts and camera poses.\n\nInterest Area: Research & Education\n\nRecording: 
 Livestreamed, Recorded\n\nKeyword: AI, Machine Learning, Rendering\n\nRegi
 stration Category: Full Conference, Full Conference Supporter, Virtual Acc
 ess, Exhibitor Full Conference, Monday\n\nSession Chair: Holly Rushmeier (
 Yale University)\n\n
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