Light field (LF) camera can simultaneously capture the intensity and direction information of
light rays, which has been widely concerned. However, limited by the size of the imaging …

To improve acquisition efficiency and achieve super high-resolution reconstruction, a
computational integral imaging reconstruction (CIIR) method based on the generative …

Three-Dimensional (3D) light-field display plays a vital role in realizing 3D display. However,
the real-time high quality 3D light-field display is difficult, because super high-resolution 3D …

Conventional photography can only provide a two-dimensional image of the scene, whereas
emerging imaging modalities such as light field enable the representation of higher …

In this paper, we propose an efficient deep learning pipeline for light field acquisition using a
back-to-back dual-fisheye camera. The proposed pipeline generates a light field from a …

Low spatial resolution is an urgent problem in integral imaging light-field displays (LFDs).
This study proposes a computational method to enhance the spatial resolution without …

Natural and comfortable visual experience is critical to the success of metaverse, which has
recently drawn worldwide attention. However, due to the vergence-accommodation conflict …

We propose a lightweight yet effective deep learning pipeline for light field synthesis from a
single stereo image pair. Our pipeline consists of a convolutional network (CNN) that …

目的传统的基于子视点叠加的重聚焦算法混叠现象严重, 基于光场图像重构的重聚焦方法计算量
太大, 性能提升困难. 为此, 本文借助深度神经网络设计和实现了一种基于条件生成对抗网络的 …

In this paper, we focus on the speedup of a learning-based light field synthesis pipeline. The
pipeline involves a disparity estimation neural network and a light field blending component …