ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes

Understand

Implicit neural representation has demonstrated promising results in 3D reconstruction on various scenes.

• However, existing approaches either struggle to model fast-moving objects or are incapable of handling large-scale camera ego-motions in urban environments.
• This leads to low-quality synthesized views of the large-scale urban scenes.
• In this paper, we aim to jointly solve the problems caused by large-scale scenes and fast-moving vehicles, which are more practical and challenging.