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2311.01815
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Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields
3 November 2023
Jianxiong Shen
Ruijie Ren
Adria Ruiz
Francesc Moreno-Noguer
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Papers citing
"Estimating 3D Uncertainty Field: Quantifying Uncertainty for Neural Radiance Fields"
13 / 13 papers shown
Title
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting
Shu-Wei Lu
Yi-Hsuan Tsai
Yi-Ting Chen
33
0
0
02 Apr 2025
Uncertainty-Aware Normal-Guided Gaussian Splatting for Surface Reconstruction from Sparse Image Sequences
Zhen Tan
Xieyuanli Chen
Jinpu Zhang
Lei Feng
Dewen Hu
3DGS
41
0
0
14 Mar 2025
Data Augmentation for NeRFs in the Low Data Limit
Ayush Gaggar
Todd Murphey
50
0
0
03 Mar 2025
PH-Dropout: Practical Epistemic Uncertainty Quantification for View Synthesis
Chuanhao Sun
Thanos Triantafyllou
Anthos Makris
Maja Drmač
Kai Xu
Luo Mai
Mahesh Marina
28
0
0
07 Oct 2024
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting
Matthew Strong
Boshu Lei
Aiden Swann
Wen Jiang
Kostas Daniilidis
Monroe Kennedy III
3DGS
38
3
0
07 Oct 2024
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
Saining Zhang
Baijun Ye
Xiaoxue Chen
Yuantao Chen
Zongzheng Zhang
Cheng Peng
Yongliang Shi
Hao Zhao
3DGS
32
5
0
27 Aug 2024
NeRF On-the-go: Exploiting Uncertainty for Distractor-free NeRFs in the Wild
Weining Ren
Zihan Zhu
Boyang Sun
Jiaqi Chen
Marc Pollefeys
Songyou Peng
21
31
0
29 May 2024
Modeling uncertainty for Gaussian Splatting
L. S. Aira
D. Valsesia
E. Magli
UQCV
3DGS
22
5
0
27 Mar 2024
Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields
Dominic Maggio
Marcus Abate
J. Shi
C. Mario
Luca Carlone
48
81
0
19 Sep 2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
Niko Sünderhauf
Jad Abou-Chakra
Dimity Miller
UQCV
65
53
0
19 Sep 2022
Vision-Only Robot Navigation in a Neural Radiance World
M. Adamkiewicz
Timothy Chen
Adam Caccavale
Rachel Gardner
Preston Culbertson
Jeannette Bohg
Mac Schwager
151
227
0
01 Oct 2021
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
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1