CoDiffMob injects city-level flow statistics and hourly movement rhythms into a diffusion model's starting noise, improving reported trajectory and flow fidelity, though the evaluation is partly circular.
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Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors
CoDiffMob injects city-level flow statistics and hourly movement rhythms into a diffusion model's starting noise, improving reported trajectory and flow fidelity, though the evaluation is partly circular.