Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020
4 – 13 December 2020
Learning Illumination from Diverse Portraits
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Ultimate Supporter
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Ultimate Attendee
Date/Time:
04 – 13 December 2020
All presentations are available in the virtual platform on-demand.
Description: We present a state-of-the-art method to estimate HDR, omnidirectional illumination from a single portrait image, essentially using faces as light probes while resolving the illumination/reflectance ambiguity across diverse skin tones.
Author(s)/Presenter(s):
Chloe LeGendre, Google Research, United States of America
Wan-Chun Ma, Google Inc., United States of America
Rohit Pandey, Google Inc., United States of America
Sean Fanello, Google Inc., United States of America
Christoph Rhemann, Google Inc., United States of America
Jason Dourgarian, Google Inc., United States of America
Jay Busch, Google Inc., United States of America
Paul Debevec, Google Research, United States of America
