Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints

22 December 2023

Papers citing "Density Uncertainty Quantification with NeRF-Ensembles: Impact of Data and Scene Constraints"

23 / 23 papers shown

Title
CBARF: Cascaded Bundle-Adjusting Neural Radiance Fields from Imperfect Camera Poses Hongyu Fu Xin Yu Lincheng Li Li Zhang 77 7 0 15 Oct 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
A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses from HoloLens Trajectories and Structure from Motion M. Jäger P. Hübner D. Haitz B. Jutzi 70 6 0 20 Apr 2023
NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior Wenjing Bian Zirui Wang Kejie Li Jiawang Bian V. Prisacariu 96 246 0 14 Dec 2022
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation Yunzhi Lin Thomas Müller Jonathan Tremblay Bowen Wen Stephen Tyree Alex Evans Patricio A. Vela Stan Birchfield 47 54 0 18 Oct 2022
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields Niko Sünderhauf Jad Abou-Chakra Dimity Miller UQCV 121 55 0 19 Sep 2022
ActiveNeRF: Learning where to See with Uncertainty Estimation Xuran Pan Zihang Lai Shiji Song Gao Huang 42 111 0 18 Sep 2022
AdaNeRF: Adaptive Sampling for Real-time Rendering of Neural Radiance Fields A. Kurz Thomas Neff Zhaoyang Lv Michael Zollhöfer M. Steinberger 76 73 0 21 Jul 2022
GARF: Gaussian Activated Radiance Fields for High Fidelity Reconstruction and Pose Estimation Shin-Fang Chng Sameera Ramasinghe Jamie Sherrah Simon Lucey AI4CE 70 89 0 12 Apr 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding Thomas Müller Alex Evans Christoph Schied A. Keller 341 4,045 0 16 Jan 2022
Plenoxels: Radiance Fields without Neural Networks Alex Yu Sara Fridovich-Keil Matthew Tancik Qinhong Chen Benjamin Recht Angjoo Kanazawa 280 1,664 0 09 Dec 2021
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations Jianxiong Shen Adria Ruiz Antonio Agudo Francesc Moreno-Noguer BDL 101 70 0 05 Sep 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction Peng Wang Lingjie Liu Yuan Liu Christian Theobalt Taku Komura Wenping Wang 111 1,739 0 20 Jun 2021
GNeRF: GAN-based Neural Radiance Field without Posed Camera Quan Meng Anpei Chen Haimin Luo Minye Wu Hao Su Lan Xu Xuming He Jingyi Yu 88 203 0 29 Mar 2021
FastNeRF: High-Fidelity Neural Rendering at 200FPS Stephan J. Garbin Marek Kowalski Matthew W. Johnson Jamie Shotton Julien P. C. Valentin 101 646 0 18 Mar 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 86 631 0 14 Jul 2020
Deep Ensembles: A Loss Landscape Perspective Stanislav Fort Huiyi Hu Balaji Lakshminarayanan OOD UQCV 125 629 0 05 Dec 2019
A General Framework for Uncertainty Estimation in Deep Learning Antonio Loquercio Mattia Segu Davide Scaramuzza UQCV BDL OOD 66 293 0 16 Jul 2019
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 185 1,705 0 06 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations Vincent Sitzmann Michael Zollhoefer Gordon Wetzstein 3DPC 3DV 171 1,282 0 04 Jun 2019
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,871 0 14 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 842 5,841 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 856 9,353 0 06 Jun 2015