Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a
monocular RGBD video sequence, while simultaneously performing neural 3D …
monocular RGBD video sequence, while simultaneously performing neural 3D …
Nerf-slam: Real-time dense monocular slam with neural radiance fields
We propose a novel geometric and photometric 3D map** pipeline for accurate and real-
time scene reconstruction from casually taken monocular images. To achieve this, we …
time scene reconstruction from casually taken monocular images. To achieve this, we …
Depth-supervised nerf: Fewer views and faster training for free
A commonly observed failure mode of Neural Radiance Field (NeRF) is fitting incorrect
geometries when given an insufficient number of input views. One potential reason is that …
geometries when given an insufficient number of input views. One potential reason is that …
Panoptic lifting for 3d scene understanding with neural fields
Abstract We propose Panoptic Lifting, a novel approach for learning panoptic 3D volumetric
representations from images of in-the-wild scenes. Once trained, our model can render color …
representations from images of in-the-wild scenes. Once trained, our model can render color …