Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single …

depth of field utilities

Extract the EDOF from photos obtained from Dual Camera smartphones

Official Repository for our CVPRW (MAI'21) paper.

Deep learning extended depth-of-field microscope for fast and slide-free histology

Implementation of a CVPR2020 paper using Plenpy for the 15-663 Computational Photography course at Carnegie Mellon University

investigating generative approaches to simulating depth of field in images