J Lee, S Lee, S Cho, S Lee - … of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
In this paper, we propose the first end-to-end convolutional neural network (CNN) architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map …
Y Wang, J Yang, Y Guo, C Xiao… - IEEE Signal Processing …, 2018 - ieeexplore.ieee.org
Camera arrays provide spatial and angular information within a single snapshot. With refocusing methods, focal planes can be altered after exposure. In this letter, we propose a …
We present a novel rendering system for defocus blur and lens effects. It supports physically- based rendering and outperforms previous approaches by involving a novel GPU-based …
We aim to generate high resolution shallow depth-of-field (DoF) images from a single all-in- focus image with controllable focal distance and aperture size. To achieve this, we propose …
Q Chen, B Zheng, X Zhou, A Huang, Y Sun… - Neural Computing and …, 2023 - Springer
Bokeh effect is usually used to highlight major contents in an image. Limited by the small sensors, cameras on smartphones are less sensitive to the depth information and cannot …
We present a GPU-based real-time rendering method that simulates high-quality depth-of- field effects, similar in quality to multiview accumulation methods. Most real-time approaches …
Cybersickness is one of the greatest barriers to the adoption of virtual reality. A growing body of research has focused on identifying the characteristics of cybersickness and finding …
X Yu, R Wang, J Yu - Computer Graphics Forum, 2010 - Wiley Online Library
We present a new algorithm for efficient rendering of high‐quality depth‐of‐field (DoF) effects. We start with a single rasterized view (reference view) of the scene, and sample the …