CityRAG: Stepping Into a City via Spatially-Grounded Video Generation 事件

CityRAG: Stepping Into a City via Spatially-Grounded Video Generation arXiv:2604.19741v2 Announce Type: replace Abstract: We address the problem of generating a 3D-consistent, navigable environment that is spatially grounded: a simulation of a real location. Existing video generative models can produce a plausible sequence that is consistent with a text (T2V) or image (I2V) prompt. However, the capability to reconstruct the real world under arbitrary weather conditions and dynamic object config