RAVQ-HoloNet
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RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
arXiv:2511.21035v2 Announce Type: replace Abstract: Holography offers significant potential for AR/VR applications. However, its adoption is limited by the high demand for data compression. Existing deep learning approaches generally lack rate adaptivity within a single network and often require multiple models to cover different bandwidth requirements.