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These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models

18 March 2025

Papers citing "These Magic Moments: Differentiable Uncertainty Quantification of Radiance Field Models"

20 / 20 papers shown

Title
3D Gaussian Splatting as Markov Chain Monte Carlo Shakiba Kheradmand Daniel Rebain Gopal Sharma Weiwei Sun Jeff Tseng Hossam N. Isack Abhishek Kar Andrea Tagliasacchi Kwang Moo Yi 3DGS 103 61 0 15 Apr 2024
A Survey on 3D Gaussian Splatting Guikun Chen Wenguan Wang 3DGS 205 192 0 08 Jan 2024
CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning Q. Yan Qiang-qiang Wang Kaiyong Zhao Jie Chen Bo Li Xiaowen Chu Fei Deng 79 8 0 14 Dec 2023
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields Shijie Zhou Haoran Chang Sicheng Jiang Zhiwen Fan Zehao Zhu Dejia Xu Pradyumna Chari Suya You Zhangyang Wang A. Kadambi 3DGS 105 182 0 06 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 69 35 0 29 Nov 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli Cody Reading Silvia Sellán Alec Jacobson Andrea Tagliasacchi BDL UQCV 99 60 0 06 Sep 2023
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields Niko Sünderhauf Jad Abou-Chakra Dimity Miller UQCV 123 55 0 19 Sep 2022
ActiveNeRF: Learning where to See with Uncertainty Estimation Xuran Pan Zihang Lai Shiji Song Gao Huang 48 111 0 18 Sep 2022
Volume Rendering Digest (for NeRF) Andrea Tagliasacchi B. Mildenhall 68 37 0 29 Aug 2022
These Maps Are Made For Walking: Real-Time Terrain Property Estimation for Mobile Robots Parker Ewen Adam Li Yuxin Chen Steven Hong Ram Vasudevan 99 29 0 25 May 2022
The Unreasonable Effectiveness of Deep Evidential Regression N. Meinert J. Gawlikowski Alexander Lavin UQCV EDL 257 37 0 20 May 2022
Language-driven Semantic Segmentation Boyi Li Kilian Q. Weinberger Serge Belongie V. Koltun René Ranftl VLM 139 628 0 10 Jan 2022
Urban Radiance Fields Konstantinos Rematas An Liu Pratul P. Srinivasan Jonathan T. Barron Andrea Tagliasacchi Thomas Funkhouser V. Ferrari 68 288 0 29 Nov 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 117 70 0 05 Sep 2021
Depth-supervised NeRF: Fewer Views and Faster Training for Free Kangle Deng Andrew Liu Jun-Yan Zhu Deva Ramanan 217 891 0 06 Jul 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields Jonathan T. Barron B. Mildenhall Matthew Tancik Peter Hedman Ricardo Martín Brualla Pratul P. Srinivasan 123 1,989 0 24 Mar 2021
iMAP: Implicit Mapping and Positioning in Real-Time Edgar Sucar Shikun Liu Joseph Ortiz Andrew J. Davison 3DH 130 622 0 23 Mar 2021
Deep Evidential Regression Alexander Amini Wilko Schwarting A. Soleimany Daniela Rus EDL PER BDL UD UQCV 103 442 0 07 Oct 2019
The Replica Dataset: A Digital Replica of Indoor Spaces Julian Straub Thomas Whelan Lingni Ma Yufan Chen Erik Wijmans ... H. Strasdat R. D. Nardi Michael Goesele S. Lovegrove Richard Newcombe 3DV 134 858 0 13 Jun 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 891 9,364 0 06 Jun 2015