<ul><li>Researchers have developed a highly configurable learned model structure for synthesizing 3D holograms.</li><li>The models can be conditioned for varying display-scene parameters, including input images, propagation distances, volume depths, and more.</li><li>The correlation between depth estimation and hologram synthesis tasks has led to an accurate model for generating 3D holograms from 2D images.</li><li>The models have been validated through simulations and two different holographic display prototypes.</li></ul>

Configurable Holography: Towards Display and Scene Adaptation

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