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Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
5 September 2021
Jianxiong Shen
Adria Ruiz
Antonio Agudo
Francesc Moreno-Noguer
BDL
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Papers citing
"Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations"
12 / 62 papers shown
Title
ActiveNeRF: Learning where to See with Uncertainty Estimation
Xuran Pan
Zihang Lai
Shiji Song
Gao Huang
10
105
0
18 Sep 2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
Soomin Lee
Le Chen
Jiahao Wang
Alexander Liniger
Suryansh Kumar
F. I. F. Richard Yu
21
59
0
17 Sep 2022
Progressive Multi-scale Light Field Networks
David Li
Amitabh Varshney
AI4CE
28
3
0
13 Aug 2022
Stochastic Poisson Surface Reconstruction
Silvia Sellán
Alec Jacobson
30
25
0
30 Jun 2022
Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
Mingtong Zhang
Shuhong Zheng
Zhipeng Bao
M. Hebert
Yu-xiong Wang
19
12
0
09 Jun 2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification
Jianxiong Shen
Antonio Agudo
Francesc Moreno-Noguer
Adria Ruiz
AI4CE
14
55
0
18 Mar 2022
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer
Jonathan T. Barron
B. Mildenhall
Mehdi S. M. Sajjadi
Andreas Geiger
Noha Radwan
51
579
0
01 Dec 2021
Neural Fields in Visual Computing and Beyond
Yiheng Xie
Towaki Takikawa
Shunsuke Saito
Or Litany
Shiqin Yan
Numair Khan
Federico Tombari
James Tompkin
Vincent Sitzmann
Srinath Sridhar
3DH
49
615
0
22 Nov 2021
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
Sida Peng
Yuanqing Zhang
Yinghao Xu
Qianqian Wang
Qing Shuai
Hujun Bao
Xiaowei Zhou
3DH
197
687
0
31 Dec 2020
Neural Sparse Voxel Fields
Lingjie Liu
Jiatao Gu
Kyaw Zaw Lin
Tat-Seng Chua
Christian Theobalt
203
1,242
0
22 Jul 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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