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Holography is capable of rendering three-dimensional scenes with full-depthcontrol, and delivering transformative experiences across numerous domains,including virtual and augmented reality, education, and communication. However,traditional holography presents 3D scenes with unnatural defocus and severespeckles due to the limited space bandwidth product of the spatial lightmodulator (SLM). Here, we introduce Motion Hologram, a novel holographictechnique to accurately portray photorealistic and speckle-free 3D scenes, byleveraging a single hologram and learnable motion trajectory, which are jointlyoptimized within the deep reinforcement learning framework. Specifically, weexperimentally demonstrated the proposed technique could achieve a 4~5 dB PSNRimprovement of focal stacks in comparison with traditional holography and couldsuccessfully depict speckle-free, high-fidelity, and full-color 3D displaysusing only a commercial SLM for the first time. We believe the proposed methodpromises a new form of holographic displays that will offer immersive viewingexperiences for audiences.

Motion Hologram: Jointly optimized hologram generation and motion  planning for photorealistic and speckle-free 3D displays via reinforcement  learning