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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High Pre-Function Area
DTSTART;TZID=America/Denver:20240728T090000
DTEND;TZID=America/Denver:20240728T173000
UID:siggraph_SIGGRAPH 2024_sess410_pos_263@linklings.com
SUMMARY:38. Controllable Neural Reconstruction for Autonomous Driving
DESCRIPTION:Máté Tóth, Péter Kovács, Zoltán Bendefy, Zoltán Hortsin, and T
 amás Matuszka (aiMotive)\n\nWe introduce an automated pipeline designed fo
 r training neural reconstruction models by leveraging sensor streams gathe
 red from a data collection vehicle. Subsequently, our simulator, aiSim, is
  employed to generate a controllable virtual counterpart of the real-world
  environment, enabling the replay of scenes in a closed-loop fashion.\n\nR
 egistration Category: Full Conference, Full Conference Supporter, Experien
 ce, Exhibitor Full Conference, Exhibitor Experience\n\n
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