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POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
v1v2 (latest)

POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality

Computer Vision and Pattern Recognition (CVPR), 2025
10 March 2025
Joey Wilson
Marcelino Almeida
Sachit Mahajan
Martin Labrie
Maani Ghaffari
Omid Ghasemalizadeh
Min Sun
Cheng-Hao Kuo
Arnab Sen
    3DGS
ArXiv (abs)PDFHTML

Papers citing "POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality"

28 / 28 papers shown
Title
Active Next-Best-View Optimization for Risk-Averse Path Planning
Active Next-Best-View Optimization for Risk-Averse Path Planning
Amirhossein Mollaei Khass
Guangyi Liu
Vivek Pandey
W. Jiang
Boshu Lei
Kostas Daniilidis
N. Motee
80
1
0
07 Oct 2025
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF
Beyond Uncertainty: Risk-Aware Active View Acquisition for Safe Robot Navigation and 3D Scene Understanding with FisherRF
Guangyi Liu
Wen Jiang
Boshu Lei
Vivek Pandey
Kostas Daniilidis
N. Motee
339
14
0
20 Jan 2025
Modeling Uncertainty in 3D Gaussian Splatting through Continuous
  Semantic Splatting
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic SplattingIEEE International Conference on Robotics and Automation (ICRA), 2024
Joey Wilson
Marcelino Almeida
Min Sun
Sachit Mahajan
Maani Ghaffari
Parker Ewen
Omid Ghasemalizadeh
Cheng-Hao Kuo
Arnie Sen
3DGS
274
9
0
04 Nov 2024
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian Splatting
Next Best Sense: Guiding Vision and Touch with FisherRF for 3D Gaussian SplattingIEEE International Conference on Robotics and Automation (ICRA), 2024
Matthew Strong
Boshu Lei
Aiden Swann
Wen Jiang
Kostas Daniilidis
Monroe Kennedy III
3DGS
346
8
0
07 Oct 2024
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
LoopSplat: Loop Closure by Registering 3D Gaussian SplatsInternational Conference on 3D Vision (3DV), 2024
Liyuan Zhu
Yue Li
Erik Sandström
Shengyu Huang
Konrad Schindler
Iro Armeni
277
54
0
19 Aug 2024
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian SplattingComputer Vision and Pattern Recognition (CVPR), 2024
Alex Hanson
Allen Tu
Vasu Singla
Mayuka Jayawardhana
Matthias Zwicker
Tom Goldstein
3DGS
390
30
0
14 Jun 2024
3D Gaussian as a New Era: A Survey
3D Gaussian as a New Era: A SurveyIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Ben Fei
Jingyi Xu
Rui Zhang
Qingyuan Zhou
Weidong Yang
Ying He
3DGS
204
131
0
11 Feb 2024
LangSplat: 3D Language Gaussian Splatting
LangSplat: 3D Language Gaussian Splatting
Minghan Qin
Wanhua Li
Jiawei Zhou
Haoqian Wang
Hanspeter Pfister
VLM3DGS
329
326
0
26 Dec 2023
Gaussian Splatting SLAM
Gaussian Splatting SLAM
H. Matsuki
Riku Murai
Paul H. J. Kelly
Andrew J. Davison
3DGS
252
421
0
11 Dec 2023
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled
  Feature Fields
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature FieldsComputer Vision and Pattern Recognition (CVPR), 2023
Shijie Zhou
Haoran Chang
Sicheng Jiang
Zhiwen Fan
Zehao Zhu
Dejia Xu
Pradyumna Chari
Suya You
Zinan Lin
A. Kadambi
3DGS
430
293
0
06 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for
  Radiance Fields using Fisher Information
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information
Wen Jiang
Boshu Lei
Kostas Daniilidis
3DGS
238
55
0
29 Nov 2023
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting
Chi Yan
Delin Qu
Dan Xu
Bin Zhao
Zhigang Wang
Dong Wang
Xuelong Li
3DGS
289
337
0
20 Nov 2023
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with
  Quantifiable Uncertainty
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable UncertaintyIEEE Transactions on robotics (TRO), 2023
Joey Wilson
Yuewei Fu
Joshua Friesen
Parker Ewen
Andrew Capodieci
P. Jayakumar
Kira Barton
Maani Ghaffari
354
11
0
24 Oct 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields
Bayes' Rays: Uncertainty Quantification for Neural Radiance FieldsComputer Vision and Pattern Recognition (CVPR), 2023
Lily Goli
Cody Reading
Silvia Sellán
Alec Jacobson
Andrea Tagliasacchi
BDLUQCV
234
84
0
06 Sep 2023
3D Gaussian Splatting for Real-Time Radiance Field Rendering
3D Gaussian Splatting for Real-Time Radiance Field RenderingACM Transactions on Graphics (TOG), 2023
Bernhard Kerbl
Georgios Kopanas
Thomas Leimkuehler
G. Drettakis
3DGS
640
6,093
0
08 Aug 2023
ActiveNeRF: Learning where to See with Uncertainty Estimation
ActiveNeRF: Learning where to See with Uncertainty EstimationEuropean Conference on Computer Vision (ECCV), 2022
Xuran Pan
Zihang Lai
Shiji Song
Gao Huang
158
137
0
18 Sep 2022
ExplORB-SLAM: Active Visual SLAM Exploiting the Pose-graph Topology
ExplORB-SLAM: Active Visual SLAM Exploiting the Pose-graph Topology
Julio A. Placed
Juan J. Gómez-Rodríguez
Juan D. Tardós
J. A. Castellanos
138
20
0
08 Sep 2022
Unifying Approaches in Active Learning and Active Sampling via Fisher
  Information and Information-Theoretic Quantities
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities
Andreas Kirsch
Y. Gal
FedML
202
28
0
01 Aug 2022
A Survey on Active Simultaneous Localization and Mapping: State of the
  Art and New Frontiers
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New FrontiersIEEE Transactions on robotics (TRO), 2022
Julio A. Placed
Jared Strader
Henry Carrillo
Nikolay Atanasov
Vadim Indelman
Luca Carlone
J. A. Castellanos
406
253
0
01 Jul 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
Block-NeRF: Scalable Large Scene Neural View SynthesisComputer Vision and Pattern Recognition (CVPR), 2022
Matthew Tancik
Vincent Casser
Xinchen Yan
Sabeek Pradhan
B. Mildenhall
Pratul P. Srinivasan
Jonathan T. Barron
Henrik Kretzschmar
AI4CE
260
965
0
10 Feb 2022
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
565
2,153
0
23 Nov 2021
A General Relationship between Optimality Criteria and Connectivity
  Indices for Active Graph-SLAM
A General Relationship between Optimality Criteria and Connectivity Indices for Active Graph-SLAM
Julio A. Placed
J. A. Castellanos
159
24
0
04 Oct 2021
Laplace Redux -- Effortless Bayesian Deep Learning
Laplace Redux -- Effortless Bayesian Deep LearningNeural Information Processing Systems (NeurIPS), 2021
Erik A. Daxberger
Agustinus Kristiadi
Alexander Immer
Runa Eschenhagen
Matthias Bauer
Philipp Hennig
BDLUQCV
574
378
0
28 Jun 2021
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Katharina Eggensperger
Thomas Brox
UQCV
204
242
0
20 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
959
14,846
0
11 Jan 2018
Gaussian Process Autonomous Mapping and Exploration for Range Sensing
  Mobile Robots
Gaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots
Maani Ghaffari Jadidi
Jaime Valls Miro
G. Dissanayake
GP
247
107
0
02 May 2016
Gradient-based stochastic optimization methods in Bayesian experimental
  design
Gradient-based stochastic optimization methods in Bayesian experimental design
Xun Huan
Youssef M. Marzouk
169
124
0
10 Dec 2012
Simulation-based optimal Bayesian experimental design for nonlinear
  systems
Simulation-based optimal Bayesian experimental design for nonlinear systems
Xun Huan
Youssef M. Marzouk
210
458
0
20 Aug 2011
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