Abstract: This paper introduces a novel self-supervised learning framework for enhancing 3D perception in autonomous driving scenes. Specifically, our approach, namely NCLR, focuses on 2D-3D neural ...
Abstract: Supervised methods on 3D medical image segmentation need large amounts of annotated data, but annotating is time-consuming. Also, existing 3D segmentation methods capture more global ...
@misc{3dgsflats, title={3D Gaussian Flats: Hybrid 2D/3D Photometric Scene Reconstruction}, author={Maria Taktasheva, Lily Goli, Alessandro Fiorini, Zhen Li, Daniel Rebain, Andrea Tagliasacchi}, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback