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Current 6D object pose methods consist of deep CNN models fully optimized for a single object but with its architecture standardized among objects with different shapes.
A generalized solution of the orthogonal procrustes problem
P. H. Schönemann · 1966
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Comparing images using the hausdorff distance under translation
D. P. Huttenlocher, W. J. Rucklidge, and G. A. Klanderman · 1992
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3D object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints
F. Rothganger, S. Lazebnik, C. Schmid, and J. Ponce · 2006
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Epnp: An accurate o (n) solution to the pnp problem
V. Lepetit, F. Moreno-Noguer, and P. Fua · 2009
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Fast directional chamfer matching
M.-Y. Liu, O. Tuzel, A. Veeraraghavan, and R. Chellappa · 2010
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Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes
S. Hinterstoisser, S. Holzer, C. Cagniart, S. Ilic, K. Konolige, N. Navab, and V. Lepetit · 2011
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Learning 6D object pose estimation using 3D object coordinates
E. Brachmann, A. Krull, F. Michel, S. Gumhold, J. Shotton, and C. Rother · 2014
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Learning 6d object pose estimation using 3d object coordinates
E. Brachmann, A. Krull, F. Michel, S. Gumhold, J. Shotton, and C. Rother · 2014
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Latent-class hough forests for 3d object detection and pose estimation
A. Tejani, D. Tang, R. Kouskouridas, and T.-K. Kim · 2014
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Posenet: A convolutional network for real-time 6-dof camera relocalization
A. Kendall, M. Grimes, and R. Cipolla · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2015
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Uncertainty-driven 6d pose estimation of objects and scenes from a single rgb image
E. Brachmann, F. Michel, A. Krull, M. Ying Yang, S. Gumhold, et al · 2016
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RGB-D object pose estimation in unstructured environments
C. Choi and H. I. Christensen · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
M. Defferrard, X. Bresson, and P. Vandergheynst · 2016
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Recovering 6d object pose and predicting next-best-view in the crowd
A. Doumanoglou, R. Kouskouridas, S. Malassiotis, and T.-K. Kim · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C.-Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
You Only Look Once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Cited alongside, same era.
Densereg: Fully convolutional dense shape regression in-the-wild
R. Alp Guler, G. Trigeorgis, E. Antonakos, P. Snape, S. Zafeiriou, and I. Kokkinos · 2017
Cited alongside, same era.
Pose guided RGBD feature learning for 3D object pose estimation
V. Balntas, A. Doumanoglou, C. Sahin, J. Sock, R. Kouskouridas, and T.-K. Kim · 2017
Cited alongside, same era.
Cut, Paste and Learn: Surprisingly easy synthesis for instance detection
D. Dwibedi, I. Misra, and M. Hebert · 2017
Making deep heatmaps robust to partial occlusions for 3D object pose estimation
M. Oberweger, M. Rad, and V. Lepetit · 2018
Later among the works it cites.
Generating 3D faces using convolutional mesh autoencoders
A. Ranjan, T. Bolkart, S. Sanyal, and M. J. Black · 2018
Later among the works it cites.
Multi-task deep networks for depth-based 6D object pose and joint registration in crowd scenarios
J. Sock, K. I. Kim, C. Sahin, and T.-K. Kim · 2018
Later among the works it cites.
Implicit 3D orientation learning for 6D object detection from RGB images
M. Sundermeyer, Z.-C. Marton, M. Durner, M. Brucker, and R. Triebel · 2018
Later among the works it cites.
Discovery of latent 3D keypoints via end-to-end geometric reasoning
S. Suwajanakorn, N. Snavely, J. J. Tompson, and M. Norouzi · 2018
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Real-Time seamless single shot 6D object pose prediction
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Cited alongside, same era.
SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again
W. Kehl, F. Manhardt, F. Tombari, S. Ilic, and N. Navab · 2017
Cited alongside, same era.
Deep multi-scale convolutional neural network for dynamic scene deblurring
S. Nah, T. Hyun Kim, and K. Mu Lee · 2017
Cited alongside, same era.
BB8: a scalable, accurate, robust to partial occlusion method for predicting the 3D poses of challenging objects without using depth
M. Rad and V. Lepetit · 2017
Cited alongside, same era.
DensePose: Dense human pose estimation in the wild
R. Alp Güler, N. Neverova, and I. Kokkinos · 2018
Cited alongside, same era.
Joint 3d face reconstruction and dense alignment with position map regression network
Y. Feng, F. Wu, X. Shao, Y. Wang, and X. Zhou · 2018
Cited alongside, same era.
Bop: benchmark for 6d object pose estimation
T. Hodan, F. Michel, E. Brachmann, W. Kehl, A. GlentBuch, D. Kraft, B. Drost, J. Vidal, S. Ihrke, X. Zabulis, et al · 2018
Cited alongside, same era.
B. Tekin, S. N. Sinha, and P. Fua · 2018
Later among the works it cites.
Dense 3D regression for hand pose estimation
C. Wan, T. Probst, L. Van Gool, and A. Yao · 2018
Later among the works it cites.
Pixel2Mesh: Generating 3D mesh models from single RGB images
N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, and Y.-G. Jiang · 2018
Later among the works it cites.
PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2018
Later among the works it cites.
Pushing the envelope for rgb-based dense 3d hand pose estimation via neural rendering
S. Baek, K. I. Kim, and T.-K. Kim · 2019
Closest in time.
3D hand shape and pose estimation from a single RGB image
L. Ge, Z. Ren, Y. Li, Z. Xue, Y. Wang, J. Cai, and J. Yuan · 2019
Closest in time.
Learning single-image 3D reconstruction by generative modelling of shape, pose and shading
P. Henderson and V. Ferrari · 2019
Closest in time.
DenseFusion: 6D object pose estimation by iterative dense fusion
C. Wang, D. Xu, Y. Zhu, R. Martín-Martín, C. Lu, L. Fei-Fei, and S. Savarese · 2019
Closest in time.
Normalized object coordinate space for category-level 6D object pose and size estimation
H. Wang, S. Sridhar, J. Huang, J. Valentin, S. Song, and L. J. Guibas · 2019
Closest in time.