ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images

27 October 2022

Matthew D. Hoffman

Rif A. Saurous

Papers citing "ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images"

44 / 44 papers shown

Title
Laser: Latent Set Representations for 3D Generative Modeling Pol Moreno Adam R. Kosiorek Heiko Strathmann Daniel Zoran Rosália G. Schneider Bjorn Winckler L. Markeeva T. Weber Danilo Jimenez Rezende BDL 3DV DRL 96 4 0 13 Jan 2023
Novel View Synthesis with Diffusion Models Daniel Watson William Chan Ricardo Martín Brualla Jonathan Ho Andrea Tagliasacchi Mohammad Norouzi DiffM 145 273 0 06 Oct 2022
DreamFusion: Text-to-3D using 2D Diffusion Ben Poole Ajay Jain Jonathan T. Barron B. Mildenhall 174 2,439 0 29 Sep 2022
Attention Beats Concatenation for Conditioning Neural Fields Daniel Rebain Mark J. Matthews K. M. Yi Gopal Sharma Dmitry Lagun Andrea Tagliasacchi AI4CE 88 23 0 21 Sep 2022
MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures Zhiqin Chen Thomas Funkhouser Peter Hedman Andrea Tagliasacchi 116 343 0 30 Jul 2022
GAUDI: A Neural Architect for Immersive 3D Scene Generation Miguel Angel Bautista Pengsheng Guo Samira Abnar Walter A. Talbott Alexander Toshev ... Shuangfei Zhai Hanlin Goh Daniel Ulbricht Afshin Dehghan J. Susskind SyDa 3DGS 63 139 0 27 Jul 2022
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification Jianxiong Shen Antonio Agudo Francesc Moreno-Noguer Adria Ruiz AI4CE 117 58 0 18 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 233 158 0 28 Jan 2022
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations Mehdi S. M. Sajjadi H. Meyer Etienne Pot Urs M. Bergmann Klaus Greff ... Daniel Duckworth Alexey Dosovitskiy Jakob Uszkoreit Thomas Funkhouser Andrea Tagliasacchi ViT 114 190 0 25 Nov 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron B. Mildenhall Dor Verbin Pratul P. Srinivasan Peter Hedman 212 1,695 0 23 Nov 2021
DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering Liwen Wu Jae Yong Lee Anand Bhattad Yuxiong Wang David A. Forsyth VGen 81 80 0 19 Nov 2021
LOLNeRF: Learn from One Look Daniel Rebain Mark J. Matthews K. M. Yi Dmitry Lagun Andrea Tagliasacchi 3DV 71 112 0 19 Nov 2021
3DP3: 3D Scene Perception via Probabilistic Programming Nishad Gothoskar Marco F. Cusumano-Towner Ben Zinberg Matin Ghavamizadeh Falk Pollok A. Garrett J. Tenenbaum Dan Gutfreund Vikash K. Mansinghka 3DV 53 49 0 30 Oct 2021
CodeNeRF: Disentangled Neural Radiance Fields for Object Categories Wonbong Jang Lourdes Agapito 85 220 0 03 Sep 2021
NeRF-VAE: A Geometry Aware 3D Scene Generative Model Adam R. Kosiorek Heiko Strathmann Daniel Zoran Pol Moreno R. Schneider Sovna Mokrá Danilo Jimenez Rezende DRL 107 143 0 01 Apr 2021
MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo Anpei Chen Zexiang Xu Fuqiang Zhao Xiaoshuai Zhang Fanbo Xiang Jingyi Yu Hao Su 147 803 0 29 Mar 2021
Hamiltonian Monte Carlo in Inverse Problems; Ill-Conditioning and Multi-Modality I. Langmore M. Dikovsky S. Geraedts Peter C. Norgaard R. V. Behren 129 7 0 12 Mar 2021
IBRNet: Learning Multi-View Image-Based Rendering Qianqian Wang Zhicheng Wang Kyle Genova Pratul P. Srinivasan Howard Zhou Jonathan T. Barron Ricardo Martín Brualla Noah Snavely Thomas Funkhouser 3DV 113 795 0 25 Feb 2021
ShaRF: Shape-conditioned Radiance Fields from a Single View Konstantinos Rematas Ricardo Martín Brualla V. Ferrari 113 112 0 17 Feb 2021
pixelNeRF: Neural Radiance Fields from One or Few Images Alex Yu Vickie Ye Matthew Tancik Angjoo Kanazawa 184 1,746 0 03 Dec 2020
pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis E. R. Chan M. Monteiro Petr Kellnhofer Jiajun Wu Gordon Wetzstein GAN 124 855 0 02 Dec 2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer Andreas Geiger OCL 164 963 0 24 Nov 2020
GRF: Learning a General Radiance Field for 3D Representation and Rendering Alex Trevithick Bo Yang 3DV 3DH 86 232 0 09 Oct 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz Yiyi Liao Michael Niemeyer Andreas Geiger VGen 162 873 0 05 Jul 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 739 18,364 0 19 Jun 2020
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis B. Mildenhall Pratul P. Srinivasan Matthew Tancik Jonathan T. Barron R. Ramamoorthi Ren Ng 131 2,592 0 19 Mar 2020
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 191 778 0 10 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
Learning models for visual 3D localization with implicit mapping Dan Rosenbaum F. Besse Fabio Viola Danilo Jimenez Rezende S. M. Ali Eslami 104 30 0 04 Jul 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 68 137 0 07 Feb 2018
FiLM: Visual Reasoning with a General Conditioning Layer Ethan Perez Florian Strub H. D. Vries Vincent Dumoulin Aaron Courville FAtt AIMat OffRL AI4CE 372 2,236 0 22 Sep 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 142 202 0 27 Mar 2017
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 107 223 0 14 Nov 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 214 143 0 31 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 170 1,633 0 27 Sep 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 277 3,722 0 26 May 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 92 485 0 20 Mar 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 99 915 0 06 Feb 2016
A Complete Recipe for Stochastic Gradient MCMC Yian Ma Tianqi Chen E. Fox BDL SyDa 80 490 0 15 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013
Approximate Bayesian Image Interpretation using Generative Probabilistic Graphics Programs Vikash K. Mansinghka Tejas D. Kulkarni Yura N. Perov J. Tenenbaum 193 108 0 29 Jun 2013
MCMC using Hamiltonian dynamics Radford M. Neal 298 3,282 0 09 Jun 2012