Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching

arXiv:2609.32732 · cs.SI, cs.LG · Submitted 2026-09-26 · Read on arXiv

cs.SI, cs.LG

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Flow Matching — 17× in this paper · explained in 8 episodes
• Fidelity — 11× in this paper · explained in 2 episodes
• Grounding — 8× in this paper · explained in 3 episodes
• Quantization — 7× in this paper · explained in 12 episodes
• Tokenization — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Transferability — 6× in this paper · explained in 4 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Ablation Studies — 3× in this paper · explained in 1 episode
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Recommendation — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Flow Matching Model — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Latent Representation — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Rectified Flow — 2× in this paper · explained in 3 episodes
• Suffix Latent Flow — 2× in this paper
• Benchmark — 1× in this paper · explained in 2 episodes
• Block Diffusion — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
• TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models
• All Cities are Equal: A Unified Human Mobility Generation Model Enabled by LLMs
• Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
• Mobility-Embedded POIs: Learning What A Place Is and How It Is Used from Human Movement
• CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
• TrajDLM: Topology-Aware Block Diffusion Language Model for Trajectory Generation
• MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation

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