Search Results for author:
Found 3 papers, 2 papers with code
SANeRF-HQ: Segment Anything for NeRF in High Quality
Recently, the Segment Anything Model (SAM) has showcased remarkable capabilities of zero-shot segmentation, while NeRF (Neural Radiance Fields) has gained popularity as a method for various 3D problems beyond novel view synthesis.
Instance Neural Radiance Field
This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as {\bf \inerflong}, or \inerf.
NeRF-RPN: A general framework for object detection in NeRFs
This paper presents the first significant object detection framework, NeRF-RPN, which directly operates on NeRF.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
