BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250813T142000
DTEND;TZID=America/Los_Angeles:20250813T143000
UID:siggraph_SIGGRAPH 2025_sess117_papers_1270@linklings.com
SUMMARY:Spatiotemporally Consistent Indoor Lighting Estimation with Diffus
 ion Priors
DESCRIPTION:Mutian Tong, Rundi Wu, and Changxi Zheng (Columbia University)
 \n\nWe propose a method for estimating spatiotemporally varying indoor lig
 hting from videos using a continuous light field represented as an MLP. By
  leveraging 2D diffusion priors fine-tuned to predict lighting jointly at 
 multiple locations, our approach achieves superior performance and zero-sh
 ot generalization to in-the-wild scenes.\n\nInterest Area: Research & Educ
 ation\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded
 \n\nRegistration Category: Full Conference, Virtual Access, Wednesday\n\nS
 ession Chair: Miloš Hašan (Adobe)\n\n
END:VEVENT
END:VCALENDAR