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DTSTAMP:20240214T070247Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T114000
DTEND;TZID=Australia/Melbourne:20231214T115000
UID:siggraphasia_SIGGRAPH Asia 2023_sess131_papers_797@linklings.com
SUMMARY:Animating Street View
DESCRIPTION:Technical Papers\n\nMengyi Shan, Brian Curless, Ira Kemelmache
 r-Shlizerman, and Steve Seitz (University of Washington)\n\nWe present a s
 ystem that automatically brings street view imagery to life by populating 
 it with naturally behaving, animated pedestrians and vehicles. Our approac
 h is to remove existing people and vehicles from the input image, insert m
 oving objects with proper scale, angle, motion and appearance, plan paths 
 and traffic behavior, as well as render the scene with plausible occlusion
  and shadowing effects. The system achieves these by reconstructing the st
 ill image street scene, simulating crowd behavior, and rendering with cons
 istent lighting, visibility, occlusions, and shadows. We demonstrate resul
 ts on a diverse range of street scenes including regular still images and 
 panoramas.\n\nRegistration Category: Full Access\n\nSession Chair: Neil A.
  Dodgson (Victoria University of Wellington)
URL:https://asia.siggraph.org/2023/full-program?id=papers_797&sess=sess131
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