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This paper introduces GS-Pose, a unified framework for localizing and estimating the 6D pose of novel objects.
Multiscale structural similarity for image quality assessment
Zhou Wang, Eero P Simoncelli, and Alan C Bovik · 2003
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Epnp: An accurate o (n) solution to the pnp problem
Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua · 2009
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The moped framework: Object recognition and pose estimation for manipulation
Alvaro Collet, Manuel Martinez, and Siddhartha S Srinivasa · 2011
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Model based training, detection and pose estimation of texture-less 3d objects in heavily cluttered scenes
Stefan Hinterstoisser, Vincent Lepetit, Slobodan Ilic, Stefan Holzer, Gary Bradski, Kurt Konolige, and Nassir Navab · 2012
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Pose estimation for augmented reality: a hands-on survey
Eric Marchand, Hideaki Uchiyama, and Fabien Spindler · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Implicit 3d orientation learning for 6d object detection from rgb images
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, Manuel Brucker, and Rudolph Triebel · 2018
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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
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Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, and Harinandan Katam · 2019
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Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
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Pix2pose: Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation
Kiru Park, Timothy Patten, and Markus Vincze · 2019
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Pvnet: Pixel-wise voting network for 6dof pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, and Hujun Bao · 2019
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Deep multi-state object pose estimation for augmented reality assembly
Yongzhi Su, Jason Rambach, Nareg Minaskan, Paul Lesur, Alain Pagani, and Didier Stricker · 2019
Cited alongside, same era.
Normalized object coordinate space for category-level 6d object pose and size estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J Guibas · 2019
Cited alongside, same era.
Pose from shape: Deep pose estimation for arbitrary 3d objects
Yang Xiao, Xuchong Qiu, Pierre-Alain Langlois, Mathieu Aubry, and Renaud Marlet · 2019
Cited alongside, same era.
Self-supervised 6d object pose estimation for robot manipulation
Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, and Dieter Fox · 2020
Cited alongside, same era.
Epos: Estimating 6d pose of objects with symmetries
Tomas Hodan, Daniel Barath, and Jiri Matas · 2020
Cited alongside, same era.
Onepose++: Keypoint-free one-shot object pose estimation without cad models
Xingyi He, Jiaming Sun, Yuang Wang, Di Huang, Hujun Bao, and Xiaowei Zhou · 2022
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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, and Josef Sivic · 2022
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Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images
Yuan Liu, Yilin Wen, Sida Peng, Cheng Lin, Xiaoxiao Long, Taku Komura, and Wenping Wang · 2022
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Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions
Van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, and Vincent Lepetit · 2022
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Osop: A multi-stage one shot object pose estimation framework
Ivan Shugurov, Fu Li, Benjamin Busam, and Slobodan Ilic · 2022
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Cosypose: Consistent multi-view multi-object 6d pose estimation
Yann Labbé, Justin Carpentier, Mathieu Aubry, and Josef Sivic · 2020
Cited alongside, same era.
Os2d: One-stage one-shot object detection by matching anchor features
Anton Osokin, Denis Sumin, and Vasily Lomakin · 2020
Cited alongside, same era.
Latentfusion: End-to-end differentiable reconstruction and rendering for unseen object pose estimation
Keunhong Park, Arsalan Mousavian, Yu Xiang, and Dieter Fox · 2020
Cited alongside, same era.
Pvnet: pixel-wise voting network for 6dof object pose estimation
Sida Peng, Xiaowei Zhou, Yuan Liu, Haotong Lin, Qixing Huang, and Hujun Bao · 2020
Cited alongside, same era.
Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, and Ales Leonardis · 2021
Cited alongside, same era.
Rasmus Laurvig Haugaard and Anders Glent Buch · 2021
Cited alongside, same era.
Loftr: Detector-free local feature matching with transformers
Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, and Xiaowei Zhou · 2021
Cited alongside, same era.
Later among the works it cites.
Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation
Yongzhi Su, Mahdi Saleh, Torben Fetzer, Jason Rambach, Nassir Navab, Benjamin Busam, Didier Stricker, and Federico Tombari · 2022
Later among the works it cites.
Onepose: One-shot object pose estimation without cad models
Jiaming Sun, Zihao Wang, Siyu Zhang, Xingyi He, Hongcheng Zhao, Guofeng Zhang, and Xiaowei Zhou · 2022
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Msda: Monocular self-supervised domain adaptation for 6d object pose estimation
Dingding Cai, Janne Heikkilä, and Esa Rahtu · 2023
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Posematcher: One-shot 6d object pose estimation by deep feature matching
Pedro Castro and Tae-Kyun Kim · 2023
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3d gaussian splatting for real-time radiance field rendering
Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler, and George Drettakis · 2023
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Sam-6d: Segment anything model meets zero-shot 6d object pose estimation
Jiehong Lin, Lihua Liu, Dekun Lu, and Kui Jia · 2023
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Dinov2: Learning robust visual features without supervision, 2023
Maxime Oquab, Timothée Darcet, Theo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Russell Howes, Po-Yao Huang, Hu Xu, Vasu Sharma, Shang-Wen Li, Wojciech Galuba, Mike Rabbat, Mido Assran, Nicolas Ballas, Gabriel Synnaeve, Ishan Misra, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski · 2023
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Foundpose: Unseen object pose estimation with foundation features
Evin Pınar Örnek, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, and Tomas Hodan · 2023
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Panwang Pan, Zhiwen Fan, Brandon Y Feng, Peihao Wang, Chenxin Li, and Zhangyang Wang · 2023
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Yolov5: Real-time object detection, 2023
Ultralytics · 2023
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Mfos: Model-free & one-shot object pose estimation
JongMin Lee, Yohann Cabon, Romain Brégier, Sungjoo Yoo, and Jerome Revaud · 2024
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