Sources of Uncertainty in 3D Scene Reconstruction

Sources of Uncertainty in 3D Scene Reconstruction

10 September 2024

Talal Alrawajfeh

Mikko Heikkilä

Papers citing "Sources of Uncertainty in 3D Scene Reconstruction"

18 / 18 papers shown

Title
From NeRFs to Gaussian Splats, and Back Siming He Zach Osman Pratik Chaudhari 3DGS 58 4 0 15 May 2024
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information Wen Jiang Boshu Lei Kostas Daniilidis 3DGS 57 34 0 29 Nov 2023
Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields Lily Goli Cody Reading Silvia Sellán Alec Jacobson Andrea Tagliasacchi BDL UQCV 79 59 0 06 Sep 2023
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields Niko Sünderhauf Jad Abou-Chakra Dimity Miller UQCV 89 53 0 19 Sep 2022
ActiveNeRF: Learning where to See with Uncertainty Estimation Xuran Pan Zihang Lai Shiji Song Gao Huang 32 109 0 18 Sep 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 291 4,009 0 16 Jan 2022
Deblur-NeRF: Neural Radiance Fields from Blurry Images Li Ma Xiaoyu Li Jing Liao Qi Zhang Xuan Wang Jue Wang Pedro Sander 52 186 0 29 Nov 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron B. Mildenhall Dor Verbin Pratul P. Srinivasan Peter Hedman 160 1,674 0 23 Nov 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 79 69 0 05 Sep 2021
Self-Calibrating Neural Radiance Fields Yoonwoo Jeong Seokjun Ahn Chris Choy Anima Anandkumar Minsu Cho Jaesik Park 69 241 0 31 Aug 2021
Laplace Redux -- Effortless Bayesian Deep Learning Erik A. Daxberger Agustinus Kristiadi Alexander Immer Runa Eschenhagen Matthias Bauer Philipp Hennig BDL UQCV 201 312 0 28 Jun 2021
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty Chao Qu Wenxin Liu Camillo J Taylor UQCV BDL 40 31 0 29 Mar 2021
NeRF++: Analyzing and Improving Neural Radiance Fields Kai Zhang Gernot Riegler Noah Snavely V. Koltun 78 1,041 0 15 Oct 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 159 1,691 0 06 Jun 2019
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 331 11,784 0 11 Jan 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 171 690 0 15 Nov 2017
Practical Gauss-Newton Optimisation for Deep Learning Aleksandar Botev H. Ritter David Barber ODL 49 231 0 12 Jun 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 346 4,700 0 15 Mar 2017

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.