December 4, 2018
DeepFocus: Learned Image Synthesis for Computational Displays
ACM SIGGRAPH Asia 2018
In this paper, we introduce DeepFocus, a generic, end-to-end convolutional neural network designed to efficiently solve the full range of computational tasks for accommodation-supporting HMDs. This network is demonstrated to accurately synthesize defocus blur, focal stacks, multilayer decompositions, and multiview imagery using only commonly available RGB-D images, enabling real-time, near-correct depictions of retinal blur with a broad set of accommodation-supporting HMDs.
By: Lei Xiao, Anton S. Kaplanyan, Alexander Fix, Matthew Chapman, Douglas Lanman