Graham Fyffe — accepted AI-conference papers

2019

DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality

Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch +1

CVPR 2019poster

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). For training data, we collect videos of various reflective spheres placed…

Cited by 167 PDF ↗Scholar ↗

2019

DeepView: View Synthesis With Learned Gradient Descent

John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe, Ryan Overbeck +2

CVPR 2019oral

We present a novel approach to view synthesis using multiplane images (MPIs). Building on recent advances in learned gradient descent, our algorithm generates an MPI from a set of sparse camera viewpoints. The resulting method incorporates occlusion reasoning, improving performance on challenging sc…

Cited by 516 PDF ↗Scholar ↗