ProDiff reconstructs intermediate trajectory points from just two endpoints by combining prototype learning with a denoising diffusion model, outperforming existing imputation methods on two mobility datasets.
A., Verleysen, M., and Blondel, V
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ProDiff: Prototype-Guided Diffusion for Minimal Information Trajectory Imputation
ProDiff reconstructs intermediate trajectory points from just two endpoints by combining prototype learning with a denoising diffusion model, outperforming existing imputation methods on two mobility datasets.