StyledStreets: Multi-Style Street Simulator with Spatial and Temporal Consistency

Urban street simulation requires more than realistic appearance transfer: it must preserve scene geometry, motion, and multi-camera consistency under changing appearance. We present StyledSteets, a multi-style 3D Gaussian street simulator for instruction-driven editing that combines physically grounded pose refinement, uncertainty-aware supervision, and unified stylization. Built on 3D Gaussian Splatting, the method addresses three coupled challenges: dynamic street reconstruction under rigid camera-vehicle constraints, noisy diffusion supervision across views and time, and geometry-preserving style transfer suitable for downstream simulation. In particular, it is designed to keep edited scenes useful not only for visual appearance control but also for downstream tasks such as vehicle tracking and ego-centric planning. Experiments on Waymo show stronger reconstruction quality than prior street-scene baselines, including an 18.2% lower Chamfer Distance than OmniRe, while edited scenes also improve tracking and planning robustness over diffusion-only alternatives. These results support controllable urban-scene simulation under diverse weather and appearance changes.