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The active view acquisition problem has been extensively studied in the context of robot navigation using NeRF and 3D Gaussian Splatting.
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James Kajiya and Brian Von · 1984
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“Conditional value-at-risk for general loss distributions”
R. Rockafellar and Stanislav Uryasev · 2002
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“Value-at-risk vs. conditional value-at-risk in risk management and optimization”
Sergey Sarykalin, Gaia Serraino and Stan Uryasev · 2008
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“Bayesian Active Learning for Classification and Preference Learning”
Neil Houlsby, Ferenc Huszar, Zoubin Ghahramani and Máté Lengyel · 2011
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“Theory of statistics”
Mark Schervish · 2012
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“Matterport3D: Learning from RGB-D Data in Indoor Environments”
Angel Chang et al · 2017
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“BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning”
Andreas Kirsch, Joost Amersfoort and Yarin Gal · 2019
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“Habitat: A Platform for Embodied AI Research”
Manolis Savva et al · 2019
Cited alongside, same era.
“Differentiable surface splatting for point-based geometry processing”
Wang Yifan, Felice Serena, Shihao Wu, Cengiz Öztireli and Olga Sorkine-Hornung · 2019
Cited alongside, same era.
“NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”
Ben Mildenhall, Pratul. Srinivasan, Matthew Tancik, Jonathan. Barron, Ravi Ramamoorthi and Ren Ng · 2020
Cited alongside, same era.
“Laplace Redux–Effortless Bayesian Deep Learning”
Erik Daxberger, Agustinus Kristiadi, Alexander Immer, Runa Eschenhagen, Matthias Bauer and Philipp Hennig · 2021
Cited alongside, same era.
“Kilonerf: Speeding up neural radiance fields with thousands of tiny mlps”
Christian Reiser, Songyou Peng, Yiyi Liao and Andreas Geiger · 2021
Cited alongside, same era.
“Plenoxels: Radiance fields without neural networks”
Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht and Angjoo Kanazawa · 2022
“Plenoxels: Radiance Fields without Neural Networks”
Sara Fridovich-Keil and Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht and Angjoo Kanazawa · 2022
Later among the works it cites.
“Direct voxel grid optimization: Super-fast convergence for radiance fields reconstruction”
Cheng Sun, Min Sun and Hwann-Tzong Chen · 2022
Later among the works it cites.
“ActiveRMAP: Radiance Field for Active Mapping And Planning”
Huangying Zhan, Jiyang Zheng, Yi Xu, Ian Reid and Hamid Rezatofighi · 2022
Later among the works it cites.
“3D Gaussian Splatting for Real-Time Radiance Field Rendering”
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler and George Drettakis · 2023
Later among the works it cites.
“Risk of Cascading Collisions in Network of Vehicles with Delayed Communication”
Guangyi Liu, Christoforos Somarakis and Nader Motee · 2023
Later among the works it cites.
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Cited alongside, same era.
“Uncertainty-driven planner for exploration and navigation”
Georgios Georgakis, Bernadette Bucher, Anton Arapin, Karl Schmeckpeper, Nikolai Matni and Kostas Daniilidis · 2022
Cited alongside, same era.
“Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic Quantities” Expert Certification
Andreas Kirsch and Yarin Gal · 2022
Cited alongside, same era.
“Instant neural graphics primitives with a multiresolution hash encoding”
Thomas Müller, Alex Evans, Christoph Schied and Alexander Keller · 2022
Cited alongside, same era.
“Activenerf: Learning where to see with uncertainty estimation”
Xuran Pan, Zihang Lai, Shiji Song and Gao Huang · 2022
Cited alongside, same era.
“NeurAR: Neural Uncertainty for Autonomous 3D Reconstruction With Implicit Neural Representations”
Yunlong Ran et al · 2023
Later among the works it cites.
“Active implicit object reconstruction using uncertainty-guided next-best-view optimization”
Dongyu Yan, Jianheng Liu, Fengyu Quan, Haoyao Chen and Mengmeng Fu · 2023
Later among the works it cites.
“Active neural mapping”
Zike Yan, Haoxiang Yang and Hongbin Zha · 2023
Later among the works it cites.
“FisherRF: Active View Selection and Mapping with Radiance Fields Using Fisher Information”
Wen Jiang, Boshu Lei and Kostas Daniilidis · 2024
Closest in time.
“SplaTAM: Splat Track & Map 3D Gaussians for Dense RGB-D SLAM”
Nikhil Keetha et al · 2024
Closest in time.