arxivcs.AI2026-07-23
From Scalars to Time Series: Rethinking Implicit Neural Representations for Time-Varying Volumetric Data
Weihan Zhang, Xuan Zhao, Yenwen Peng, Yuqi Chen, Jun Tao
Implicit neural representations (INRs) for time-varying volumetric data are typically trained using dense sampling over spatiotemporal coordinates, where each observation corresponds to a single point in space and time. This coordinate-wise formulation requires extensive sampling…