CDFG members Liang Shi, Beichen Li, Changil Kim, Petr Kellnhofer’s paper Towards Real-time Photorealistic 3D Holography with Deep Neural Networks is published at Nature 2021. In their paper, the team presents the first deep-learning-based system for real-time photorealistic 3D hologram synthesis. The paper advances both physically-based methods and introduces the first large-scale 3D hologram dataset. Please check out this summary video for more details!