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Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation
v1v2 (latest)

Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation

15 August 2024
Varun Burde
Assia Benbihi
Pavel Burget
Torsten Sattler
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Comparative Evaluation of 3D Reconstruction Methods for Object Pose Estimation"

50 / 55 papers shown
Title
GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel
  Objects
GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects
Sungphill Moon
Hyeontae Son
Dongcheol Hur
Sangwook Kim
3DH
84
18
0
18 Mar 2024
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
Bowen Wen
Wei Yang
Jan Kautz
Stanley T. Birchfield
73
209
0
13 Dec 2023
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models
Andrea Caraffa
Davide Boscaini
Amir Hamza
Fabio Poiesi
97
18
0
01 Dec 2023
FoundPose: Unseen Object Pose Estimation with Foundation Features
FoundPose: Unseen Object Pose Estimation with Foundation Features
Evin Pınar Örnek
Yann Labbé
Bugra Tekin
Lingni Ma
Cem Keskin
Christian Forster
Tomás Hodan
83
58
0
30 Nov 2023
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
Jiehong Lin
Lihua Liu
Dekun Lu
Kui Jia
VLM
83
69
0
27 Nov 2023
GigaPose: Fast and Robust Novel Object Pose Estimation via One
  Correspondence
GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
Van Nguyen Nguyen
Thibault Groueix
Mathieu Salzmann
Vincent Lepetit
3DPC3DH
96
59
0
23 Nov 2023
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Wonder3D: Single Image to 3D using Cross-Domain Diffusion
Xiaoxiao Long
Yuanchen Guo
Cheng Lin
Yuan Liu
Zhiyang Dou
...
Yuexin Ma
Song-Hai Zhang
Marc Habermann
Christian Theobalt
Wenping Wang
114
441
0
23 Oct 2023
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Neuralangelo: High-Fidelity Neural Surface Reconstruction
Zhaoshuo Li
Thomas Müller
Alex Evans
Russell H. Taylor
Mathias Unberath
Xuan Li
Chen-Hsuan Lin
3DV3DH
118
388
0
05 Jun 2023
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis
Lior Yariv
Peter Hedman
Christian Reiser
Dor Verbin
Pratul P. Srinivasan
Richard Szeliski
Jonathan T. Barron
B. Mildenhall
3DGSAI4CE
97
213
0
28 Feb 2023
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Nerfstudio: A Modular Framework for Neural Radiance Field Development
Matthew Tancik
Ethan Weber
Evonne Ng
Ruilong Li
Brent Yi
...
Jake Austin
Kamyar Salahi
Abhik Ahuja
David McAllister
Angjoo Kanazawa
150
646
0
08 Feb 2023
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD
  Models
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He He
Jiaming Sun
Yuang Wang
Di Huang
Hujun Bao
Xiaowei Zhou
3DPC
80
99
0
18 Jan 2023
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose
  Estimation
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
Hanzhi Chen
Fabian Manhardt
Nassir Navab
Benjamin Busam
SSL
80
37
0
25 Dec 2022
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Yann Labbé
Lucas Manuelli
Arsalan Mousavian
Stephen Tyree
Stan Birchfield
Jonathan Tremblay
Justin Carpentier
Mathieu Aubry
Dieter Fox
Josef Sivic
64
138
0
13 Dec 2022
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface
  Reconstruction
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
Zehao Yu
Songyou Peng
Michael Niemeyer
Torsten Sattler
Andreas Geiger
130
465
0
01 Jun 2022
OnePose: One-Shot Object Pose Estimation without CAD Models
OnePose: One-Shot Object Pose Estimation without CAD Models
Jiaming Sun
Zihao Wang
Siyu Zhang
Xingyi He He
Hongcheng Zhao
Guofeng Zhang
Xiaowei Zhou
150
158
0
24 May 2022
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household
  Items
Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items
Laura Downs
Anthony G. Francis
Nate Koenig
Brandon Kinman
R. Hickman
Krista Reymann
T. B. McHugh
Vincent Vanhoucke
LM&Ro
109
500
0
25 Apr 2022
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB
  Images
Gen6D: Generalizable Model-Free 6-DoF Object Pose Estimation from RGB Images
Yuan Liu
Yilin Wen
Sida Peng
Chu-Hsing Lin
Xiaoxiao Long
Taku Komura
Wenping Wang
66
124
0
22 Apr 2022
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
I. Shugurov
Fu Li
Benjamin Busam
Slobodan Ilic
104
88
0
29 Mar 2022
FS6D: Few-Shot 6D Pose Estimation of Novel Objects
FS6D: Few-Shot 6D Pose Estimation of Novel Objects
Yisheng He
Yao Wang
Haoqiang Fan
Jian Sun
Qifeng Chen
78
89
0
28 Mar 2022
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An
  Accessible Dataset and Benchmark
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark
Stephen Tyree
Jonathan Tremblay
Thang To
Jia Cheng
Terry Mosier
Jeffrey Smith
Stan Birchfield
85
98
0
11 Mar 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
341
4,054
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
1,664
0
09 Dec 2021
SurfEmb: Dense and Continuous Correspondence Distributions for Object
  Pose Estimation with Learnt Surface Embeddings
SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings
R. Haugaard
A. Buch
64
115
0
26 Nov 2021
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from
  an RGB Image
Single-Stage Keypoint-Based Category-Level Object Pose Estimation from an RGB Image
Yunzhi Lin
Jonathan Tremblay
Stephen Tyree
Patricio A. Vela
Stan Birchfield
69
57
0
13 Sep 2021
Volume Rendering of Neural Implicit Surfaces
Volume Rendering of Neural Implicit Surfaces
Lior Yariv
Jiatao Gu
Yoni Kasten
Y. Lipman
3DV
110
1,048
0
22 Jun 2021
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for
  Multi-view Reconstruction
NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction
Peng Wang
Lingjie Liu
Yuan Liu
Christian Theobalt
Taku Komura
Wenping Wang
113
1,739
0
20 Jun 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for
  Multi-View Reconstruction
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction
Michael Oechsle
Songyou Peng
Andreas Geiger
111
752
0
20 Apr 2021
BOP Challenge 2020 on 6D Object Localization
BOP Challenge 2020 on 6D Object Localization
Tomás Hodan
M. Sundermeyer
Bertram Drost
Yann Labbé
Eric Brachmann
Frank Michel
Carsten Rother
Jirí Matas
3DPC
90
268
0
15 Sep 2020
CosyPose: Consistent multi-view multi-object 6D pose estimation
CosyPose: Consistent multi-view multi-object 6D pose estimation
Yann Labbé
Justin Carpentier
Mathieu Aubry
Josef Sivic
78
441
0
19 Aug 2020
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis
Xu Chen
Zijian Dong
Mingli Song
Andreas Geiger
Otmar Hilliges
57
129
0
18 Aug 2020
Accelerating 3D Deep Learning with PyTorch3D
Accelerating 3D Deep Learning with PyTorch3D
Nikhila Ravi
Jeremy Reizenstein
David Novotny
Taylor Gordon
Wan-Yen Lo
Justin Johnson
Georgia Gkioxari
3DPC
129
924
0
16 Jul 2020
EPOS: Estimating 6D Pose of Objects with Symmetries
EPOS: Estimating 6D Pose of Objects with Symmetries
Tomás Hodan
Dániel Baráth
Jirí Matas
89
233
0
01 Apr 2020
Implicit Geometric Regularization for Learning Shapes
Implicit Geometric Regularization for Learning Shapes
Amos Gropp
Lior Yariv
Niv Haim
Matan Atzmon
Y. Lipman
AI4CE
130
863
0
24 Feb 2020
Differentiable Volumetric Rendering: Learning Implicit 3D
  Representations without 3D Supervision
Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision
Michael Niemeyer
L. Mescheder
Michael Oechsle
Andreas Geiger
3DH3DV
71
1,000
0
16 Dec 2019
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for
  Unseen Object Pose Estimation
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation
Keunhong Park
Arsalan Mousavian
Yu Xiang
Dieter Fox
83
134
0
01 Dec 2019
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Neural Volumes: Learning Dynamic Renderable Volumes from Images
Stephen Lombardi
Tomas Simon
Jason M. Saragih
Gabriel Schwartz
Andreas M. Lehrmann
Yaser Sheikh
3DH
76
280
0
18 Jun 2019
Scene Representation Networks: Continuous 3D-Structure-Aware Neural
  Scene Representations
Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Vincent Sitzmann
Michael Zollhoefer
Gordon Wetzstein
3DPC3DV
171
1,282
0
04 Jun 2019
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects
Roman Kaskman
Sergey Zakharov
I. Shugurov
Slobodan Ilic
58
157
0
05 Apr 2019
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
kPAM: KeyPoint Affordances for Category-Level Robotic Manipulation
Lucas Manuelli
Wei Gao
Peter R. Florence
Russ Tedrake
109
257
0
15 Mar 2019
DeepSDF: Learning Continuous Signed Distance Functions for Shape
  Representation
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Jeong Joon Park
Peter R. Florence
Julian Straub
Richard Newcombe
S. Lovegrove
3DV
133
3,707
0
16 Jan 2019
Normalized Object Coordinate Space for Category-Level 6D Object Pose and
  Size Estimation
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation
He Wang
Srinath Sridhar
Jingwei Huang
Julien P. C. Valentin
Shuran Song
Leonidas Guibas
116
696
0
09 Jan 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space
Occupancy Networks: Learning 3D Reconstruction in Function Space
L. Mescheder
Michael Oechsle
Michael Niemeyer
Sebastian Nowozin
Andreas Geiger
3DV
253
2,908
0
10 Dec 2018
Deep Object Pose Estimation for Semantic Robotic Grasping of Household
  Objects
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay
Thang To
Balakumar Sundaralingam
Yu Xiang
Dieter Fox
Stan Birchfield
92
659
0
27 Sep 2018
BOP: Benchmark for 6D Object Pose Estimation
BOP: Benchmark for 6D Object Pose Estimation
Tomás Hodan
Frank Michel
Eric Brachmann
Wadim Kehl
A. Buch
...
Fabian Manhardt
Federico Tombari
Tae-Kyun Kim
Jirí Matas
Carsten Rother
3DH
76
443
0
24 Aug 2018
DeepIM: Deep Iterative Matching for 6D Pose Estimation
DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li
Gu Wang
Xiangyang Ji
Yu Xiang
Dieter Fox
3DH3DPC
152
706
0
31 Mar 2018
Open3D: A Modern Library for 3D Data Processing
Open3D: A Modern Library for 3D Data Processing
Qian-Yi Zhou
Jaesik Park
V. Koltun
PINNAI4CE
74
1,624
0
30 Jan 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
11,920
0
11 Jan 2018
Going Further with Point Pair Features
Going Further with Point Pair Features
Stefan Hinterstoißer
Vincent Lepetit
N. Rajkumar
K. Konolige
3DPC
62
191
0
11 Nov 2017
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in
  Cluttered Scenes
PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes
Yu Xiang
Tanner Schmidt
V. Narayanan
Dieter Fox
3DPC
147
1,962
0
01 Nov 2017
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for
  Predicting the 3D Poses of Challenging Objects without Using Depth
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
Mahdi Rad
Vincent Lepetit
59
785
0
31 Mar 2017
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