Synthetic depth-of-field with a single-camera mobile phone
Shallow depth-of-field is commonly used by photographers to isolate a subject from a
distracting background. However, standard cell phone cameras cannot produce such …
distracting background. However, standard cell phone cameras cannot produce such …
Deep defocus map estimation using domain adaptation
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 …
architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map …
Selective light field refocusing for camera arrays using bokeh rendering and superresolution
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 …
refocusing methods, focal planes can be altered after exposure. In this letter, we propose a …
Real-time lens blur effects and focus control
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 …
based rendering and outperforms previous approaches by involving a novel GPU-based …
Deeplens: Shallow depth of field from a single image
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 …
focus image with controllable focal distance and aperture size. To achieve this, we propose …
Depth-guided deep filtering network for efficient single image bokeh rendering
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 …
sensors, cameras on smartphones are less sensitive to the depth information and cannot …
Depth-of-field rendering with multiview synthesis
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 …
field effects, similar in quality to multiview accumulation methods. Most real-time approaches …
MAC: multimodal, attention-based cybersickness prediction modeling in virtual reality
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 …
body of research has focused on identifying the characteristics of cybersickness and finding …
Real‐time depth of field rendering via dynamic light field generation and filtering
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 …
effects. We start with a single rasterized view (reference view) of the scene, and sample the …
增强虚拟现实技术研究及其应用
陈一民, 李启明, 马德宜, 许永顺, 陆涛… - 上海大学学报(自然 …, 2011 - journal.shu.edu.cn
增强虚拟现实技术, 简称增强现实(augmented reality, AR) 技术, 是根据信息技术发展和实际
应用需要而出现的一种将真实世界信息和虚拟世界信息“无缝” 集成的新技术. 首先, 简略介绍AR …
应用需要而出现的一种将真实世界信息和虚拟世界信息“无缝” 集成的新技术. 首先, 简略介绍AR …