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DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

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May 20 2019 Mean Squared Error

DeepLight (SIGGRAPH 2019) presents a system to infer plausible omni-directional HDR lighting at interactive rates, using LDR captures from narrow FoV mobile phone cameras. DeepLight is the basis of Google's upgraded lighting estimation feature in ARCore 2 https://arxiv.org/abs/1904.01175 https://t.co/nc5wntF6YX
2 replies, 151 likes


May 05 2019 Paul Debevec

Some of our AR lighting technology will debut at Google I/O next week; research paper on the technique to appear at CVPR 2019 https://arxiv.org/abs/1904.01175 https://twitter.com/wmafx/status/1123742972091281412
1 replies, 65 likes


May 20 2019 Dimitri Diakopoulos

Hallucinating a full HDR IBL from a single image is a neat trick. This thread of research is equally (or more) important for AR headsets.
0 replies, 32 likes


Apr 04 2019 Simon Green

DeepLight. Basically, learn to predict the lighting environment by sticking diffuse and mirrored spheres in front of the camera! https://arxiv.org/abs/1904.01175
1 replies, 24 likes


Apr 11 2019 Paul Debevec

Thank you @jflalondeqc and for your impressive and groundbreaking work with learning-based lighting estimation as well! https://twitter.com/jflalondeqc/status/1115814969466130432
0 replies, 5 likes


Apr 10 2019 Jean-Francois Lalonde

Cool work from @debfx's team coming up at @cvpr2019: DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality. https://arxiv.org/abs/1904.01175 Great way to gather lots of illumination data!
0 replies, 4 likes


Jun 20 2019 Alex Ma

Today 10-11am we are going to do a live demo at the @cvpr2019 Google booth for the machine learning based AR lighting estimation https://arxiv.org/abs/1904.01175 https://youtu.be/ecim4DrZTUE Looking forward to meeting you at the exhibition!
0 replies, 4 likes


Aug 19 2019 Tobias A. Franke

"DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality" Interesting way to generate environment maps for #AugmentedReality reflection probes from the camera's limited input image. https://arxiv.org/abs/1904.01175 https://t.co/16aZMnnTXQ
0 replies, 1 likes


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