This page provides brief explanations and curated examples for each research direction.
Composite pipelines combining generative models, procedural generation and engines to produce diverse and controllable virtual cities.
Reconstructing real urban spaces into high-fidelity, actionable environments using NeRF and Gaussian Splatting.
3D understanding, mapping and semantic structure extraction; LLM-assisted planning and reasoning.
Data-driven and agent-based methods for mobility with safety, efficiency, and energy-awareness.
Learning from heterogeneous city data (satellite, street-view, IoT) for forecasting and decision making.