Learning Illumination from Diverse Portraits

no code implementations • 5 Aug 2020 • Chloe LeGendre, Wan-Chun Ma, Rohit Pandey, Sean Fanello, Christoph Rhemann, Jason Dourgarian, Jay Busch, Paul Debevec

We present a learning-based technique for estimating high dynamic range (HDR), omnidirectional illumination from a single low dynamic range (LDR) portrait image captured under arbitrary indoor or outdoor lighting conditions.

Lighting Estimation

Single Image Portrait Relighting

no code implementations • 2 May 2019 • Tiancheng Sun, Jonathan T. Barron, Yun-Ta Tsai, Zexiang Xu, Xueming Yu, Graham Fyffe, Christoph Rhemann, Jay Busch, Paul Debevec, Ravi Ramamoorthi

Lighting plays a central role in conveying the essence and depth of the subject in a portrait photograph.

Single-Image Portrait Relighting

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

no code implementations • CVPR 2019 • Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec

We present a learning-based method to infer plausible high dynamic range (HDR), omnidirectional illumination given an unconstrained, low dynamic range (LDR) image from a mobile phone camera with a limited field of view (FOV).

Mixed Reality