Time-varying volumes are compressed by mapping each spatial coordinate directly to its full temporal sequence, using mixture-of-experts routing and low-rank decoders.
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From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data
Time-varying volumes are compressed by mapping each spatial coordinate directly to its full temporal sequence, using mixture-of-experts routing and low-rank decoders.