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Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data
  and Scene Constraints

Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints

22 December 2023
M. Jäger
Steven Landgraf
B. Jutzi
ArXivPDFHTML

Papers citing "Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints"

4 / 4 papers shown
Title
FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction
FeatureGS: Eigenvalue-Feature Optimization in 3D Gaussian Splatting for Geometrically Accurate and Artifact-Reduced Reconstruction
M. Jäger
Markus Hillemann
B. Jutzi
39
0
0
29 Jan 2025
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in
  Neural Radiance Fields
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
Niko Sünderhauf
Jad Abou-Chakra
Dimity Miller
UQCV
62
53
0
19 Sep 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
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