OpenNeRF: Open-Set 3D Neural Scene Segmentation with Pixel-Wise Visual-Language Features and Rendered Novel Views
OpenNeRF is a novel approach for open-set 3D semantic scene understanding that leverages neural radiance fields (NeRF) to directly encode pixel-aligned visual-language features and utilize NeRF's ability to render novel views to extract additional relevant features, leading to improved open-set 3D segmentation performance.