164 citations · 304 across the 8 of their papers we have counts for
4 papers · 1 filter
Quantized neural network for complex hologram generation
Yutaka Endo, Minoru Oikawa, Timothy D. Wilkinson +2
Computer-generated holography (CGH) is a promising technology for augmented reality displays, such as head-mounted or head-up displays. However, its high computational demand makes…
Neural radiance fields-based holography [Invited]
Minsung Kang, Fan Wang, Kai Kumano +2
This study presents a novel approach for generating holograms based on the neural radiance fields (NeRF) technique. Generating three-dimensional (3D) data is difficult in hologram…
Convolutional neural network-based regression for depth prediction in digital holography
Tomoyoshi Shimobaba, Takashi Kakue, Tomoyoshi Ito
Digital holography enables us to reconstruct objects in three-dimensional space from holograms captured by an imaging device. For the reconstruction, we need to know the depth posi…
Computational ghost imaging using deep learning
Tomoyoshi Shimobaba, Yutaka Endo, Takashi Nishitsuji +8
Computational ghost imaging (CGI) is a single-pixel imaging technique that exploits the correlation between known random patterns and the measured intensity of light transmitted (o…