CVPR 2023poster2 citations
Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data
Nilesh Kulkarni, Linyi Jin, Justin Johnson, David F. Fouhey
Abstract
We introduce a method that can learn to predict scene-level implicit functions for 3D reconstruction from posed RGBD data. At test time, our system maps a previously unseen RGB image to a 3D reconstruction of a scene via implicit functions. While implicit functions for 3D reconstruction have often been tied to meshes, we show that we can train one using only a set of posed RGBD images. This setting may help 3D reconstruction unlock the sea of accelerometer+RGBD data that is coming with new phones. Our system, D2-DRDF, can match and sometimes outperform current methods that use mesh supervision and shows better robustness to sparse data.
BibTeX
@inproceedings{cvpr2023_learningtopredic,
title = {Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data},
author = {Nilesh Kulkarni and Linyi Jin and Justin Johnson and David F. Fouhey},
booktitle = {CVPR 2023},
year = {2023}
}