Topics in Holography Display Systems

• Energy-Efficient Adaptive 3D Sensing (CVPR 2023) uses a spatial light modulator for energy-efficient active depth sensing in computer vision. I think this could warrant a new subsection along the lines of "Holography for Active Sensing" or similar. The code base holoCu for "Energy-Efficient Adaptive 3D Sensing" provides a CUDA implementation and simulator of the Fresnel Holography technique used in the paper. The code could be valuable as a research resource since it simulates various 3D sensors on a spatial light modulator, and as an implementation resource since it has OpenGL-CUDA interop implemented to compute and render phase maps to the spatial light modulator in real time. It also runs on limited computing platforms like NVIDIA Jetson Nano.

Related work here is Holocurtains: Programming Light Curtains via Binary Holography (CVPR 2022).

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Data-driven (Learning-based) Methods

• Learned Holographic Light Transport (Kavaklı et al. 2022) describes an algorithmic approach to learning the light transport kernel (aka beam propagation) from actual photographs. For code visit here.

Iterative Methods

• Realistic Defocus Blur for Multiplane Computer-Generated Holography (Kavaklı et al. 2022) introduces several algorithmic approaches. This work includes a new targeting scheme inspired by Depth-of-Field rendering in Computer Graphics, a novel loss function for evaluating focus and defocused parts in a reconstructed image and an optimiser that adopts double phase constrain. This work helps mitigate typical artefacts that degrade visual quality in holographic displays, such as edge fringes and inaccurate defocus blur. For code visit here.

Perception-driven Methods

• Metameric Varifocal Holograms (Walton et al. 2022) A gaze-contingent foveated varifocal image generation routine for holographic displays. For code visit here.

All of our work is dependent on our in-house baked library named Odak. We are also active on Social media, and our website can be reached from here.