UC Berkeley, Waymo & Google’s Block-NeRF Neural Scene Representation Method Renders an Entire San Francisco Neighbourhood

In the new paper Block-NeRF: Scalable Large Scene Neural View Synthesis, a team from UC Berkeley, Waymo and Google Research proposes Block-NeRF, a neural radiance fields variant capable of representing city-scale environments.

ai artificial intelligence computer vision & graphics google machine learning machine learning & data science ml neural radiance field neural scene representation representation research technology uc berkeley waymo