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Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty
  Quantification

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

18 March 2022
Jianxiong Shen
Antonio Agudo
Francesc Moreno-Noguer
Adria Ruiz
    AI4CE
ArXivPDFHTML

Papers citing "Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification"

12 / 12 papers shown
Title
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Manifold Sampling for Differentiable Uncertainty in Radiance Fields
Linjie Lyu
Ayush Tewari
Marc Habermann
Shunsuke Saito
Michael Zollhöfer
Thomas Leimkühler
Christian Theobalt
UQCV
31
1
0
19 Sep 2024
Regularized Multi-Decoder Ensemble for an Error-Aware Scene
  Representation Network
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
Tianyu Xiong
Skylar W. Wurster
Hanqi Guo
Tom Peterka
Han-Wei Shen
UQCV
41
1
0
26 Jul 2024
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs
IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs
Jingpeng Xie
Shiyu Tan
Yuanlei Wang
Yizhen Lao
Yifei Xue
Yizhen Lao
45
0
0
26 Jul 2024
Uncertainty modeling for fine-tuned implicit functions
Uncertainty modeling for fine-tuned implicit functions
A. Susmelj
Mael Macuglia
Nataša Tagasovska
Reto Sutter
Sebastiano Caprara
Jean-Philippe Thiran
E. Konukoglu
62
1
0
17 Jun 2024
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
Alex Hanson
Allen Tu
Vasu Singla
Mayuka Jayawardhana
Matthias Zwicker
Tom Goldstein
3DGS
39
9
0
14 Jun 2024
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
21
31
0
29 Nov 2023
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in
  Neural Radiance Fields
Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields
Niko Sünderhauf
Jad Abou-Chakra
Dimity Miller
UQCV
65
53
0
19 Sep 2022
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape,
  Appearance, and Pose
A-NeRF: Articulated Neural Radiance Fields for Learning Human Shape, Appearance, and Pose
Shih-Yang Su
Frank Yu
Michael Zollhoefer
Helge Rhodin
3DH
151
248
0
11 Feb 2021
Neural Sparse Voxel Fields
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
186
1,234
0
22 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,150
0
16 Jan 2013
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