BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Penn Engineering Events - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Penn Engineering Events
X-ORIGINAL-URL:https://seasevents.nmsdev7.com
X-WR-CALDESC:Events for Penn Engineering Events
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20220313T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20221106T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20231105T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231109T153000
DTEND;TZID=America/New_York:20231109T163000
DTSTAMP:20260404T002701
CREATED:20231018T183158Z
LAST-MODIFIED:20231018T183158Z
UID:9981-1699543800-1699547400@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Intrinsic images\, lighting and relighting without any labelling"
DESCRIPTION:Intrinsic images are maps of surface properties. A classical problem is to recover an intrinsic image\, typically a map of surface lightness\,\nfrom an image.   The topic has mostly dropped from view\, likely for three reasons: training data is mostly synthetic; evaluation is somewhat\nuncertain; and clear applications for the resulting albedo are missing.  The decline of this topic has a consequence – mostly\, we don’t understand and can’t mitigate the effects of lighting.\n\nI will show the results of simple experiments that suggest that very good modern depth and normal predictors are strongly sensitive to lighting — if\nyou relight a scene in a reasonable way\, the reported depth will change. This is intolerable. To fix this problem\, we need to be able to produce\nmany different lightings of the same scene.   I will describe a method to do so.  First\, one learns a method to estimate albedo from images without any labelled training data (which turns out to perform well under traditional evaluations).  Then\, one forces an image generator to produce many different images that have the same albedo — with care\, these are relightings of the same scene.  Finally\, a GAN inverter allows us to apply the process to real images.  I will show some interim results suggesting that learned relightings might genuinely improve estimates of depth\, normal and albedo.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-intrinsic-images-lighting-and-relighting-without-any-labelling/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
END:VCALENDAR