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NeRFuser: Large-Scale Scene Representation by NeRF Fusion

NeRFuser: Large-Scale Scene Representation by NeRF Fusion

22 May 2023
Jiading Fang
Sheng-Fu Lin
Igor Vasiljevic
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Adrien Gaidon
Gregory Shakhnarovich
Matthew R. Walter
ArXiv (abs)PDFHTML

Papers citing "NeRFuser: Large-Scale Scene Representation by NeRF Fusion"

21 / 21 papers shown
Title
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
MixRT: Mixed Neural Representations For Real-Time NeRF Rendering
Chaojian Li
Bichen Wu
Peter Vajda
Yingyan Lin
91
3
0
19 Dec 2023
Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation
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
Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields
Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields
Dominic Maggio
Marcus Abate
Jingang Shi
C. Mario
Luca Carlone
94
85
0
19 Sep 2022
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction
Xiaoshuai Zhang
Sai Bi
Kalyan Sunkavalli
Hao Su
Zexiang Xu
AI4CE
45
115
0
21 Mar 2022
Block-NeRF: Scalable Large Scene Neural View Synthesis
Block-NeRF: Scalable Large Scene Neural View Synthesis
Matthew Tancik
Vincent Casser
Xinchen Yan
Sabeek Pradhan
B. Mildenhall
Pratul P. Srinivasan
Jonathan T. Barron
Henrik Kretzschmar
AI4CE
92
825
0
10 Feb 2022
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding
Thomas Müller
Alex Evans
Christoph Schied
A. Keller
338
4,045
0
16 Jan 2022
Plenoxels: Radiance Fields without Neural Networks
Plenoxels: Radiance Fields without Neural Networks
Alex Yu
Sara Fridovich-Keil
Matthew Tancik
Qinhong Chen
Benjamin Recht
Angjoo Kanazawa
280
1,663
0
09 Dec 2021
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Dor Verbin
Pratul P. Srinivasan
Peter Hedman
207
1,694
0
23 Nov 2021
Neural Fields in Visual Computing and Beyond
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
177
630
0
22 Nov 2021
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance
  Fields Reconstruction
Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction
Cheng Sun
Min Sun
Hwann-Tzong Chen
130
1,079
0
22 Nov 2021
Self-Calibrating Neural Radiance Fields
Self-Calibrating Neural Radiance Fields
Yoonwoo Jeong
Seokjun Ahn
Chris Choy
Anima Anandkumar
Minsu Cho
Jaesik Park
77
243
0
31 Aug 2021
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
Christian Reiser
Songyou Peng
Yiyi Liao
Andreas Geiger
55
825
0
25 Mar 2021
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance
  Fields
Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields
Jonathan T. Barron
B. Mildenhall
Matthew Tancik
Peter Hedman
Ricardo Martín Brualla
Pratul P. Srinivasan
121
1,984
0
24 Mar 2021
iMAP: Implicit Mapping and Positioning in Real-Time
iMAP: Implicit Mapping and Positioning in Real-Time
Edgar Sucar
Shikun Liu
Joseph Ortiz
Andrew J. Davison
3DH
127
622
0
23 Mar 2021
INeRF: Inverting Neural Radiance Fields for Pose Estimation
INeRF: Inverting Neural Radiance Fields for Pose Estimation
Yen-Chen Lin
Peter R. Florence
Jonathan T. Barron
Alberto Rodriguez
Phillip Isola
Nayeon Lee
129
455
0
10 Dec 2020
SuperGlue: Learning Feature Matching with Graph Neural Networks
SuperGlue: Learning Feature Matching with Graph Neural Networks
Paul-Edouard Sarlin
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPCOffRL
127
1,949
0
26 Nov 2019
R2D2: Repeatable and Reliable Detector and Descriptor
R2D2: Repeatable and Reliable Detector and Descriptor
Jérôme Revaud
Philippe Weinzaepfel
César Roberto de Souza
Noé Pion
G. Csurka
Yohann Cabon
Martin Humenberger
84
479
0
14 Jun 2019
D2-Net: A Trainable CNN for Joint Detection and Description of Local
  Features
D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
Mihai Dusmanu
Ignacio Rocco
Tomas Pajdla
Marc Pollefeys
Josef Sivic
Akihiko Torii
Torsten Sattler
61
689
0
09 May 2019
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
From Coarse to Fine: Robust Hierarchical Localization at Large Scale
Paul-Edouard Sarlin
Cesar Cadena
Roland Siegwart
Marcin Dymczyk
3DV
50
877
0
09 Dec 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
384
11,905
0
11 Jan 2018
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
Angela Dai
Angel X. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
3DPC3DV
496
4,081
0
14 Feb 2017
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