CVPR2024

GARField: Group Anything with Radiance Fields

Chung Min Kim, Mingxuan Wu, Justin Kerr, Ken Goldberg, Matthew Tancik, Angjoo Kanazawa

摘要

Multi-Scale Clustering larger smaller Scale Hierarchical Asset Extraction Figure 1 . Group Anything with Radiance Fields (GARField): GARField distills multi-level groups represented as masks into a NeRF to create a scale-conditioned 3D affinity field (top left). Once trained, this affinity field can be clustered at a variety of scales to decompose the scene at different levels of granularity, like breaking apart the excavator into its subparts (bottom). 3D assets can be extracted from this hierarchy by extracting every group in the scene automatically or via user clicks, as visualized here (top right).