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35 changes: 19 additions & 16 deletions README.md
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Expand Up @@ -4,46 +4,48 @@ This repository is a list of papers and open source code for 6D Object Pose Esti

---
### Vision Based
- Robust, Occlusion-aware Pose Estimation for Objects Grasped by Adaptive Hands - 2020 ICRA [[paper]](https://arxiv.org/pdf/2003.03518.pdf)[[github]](https://github.com/wenbowen123/icra20-hand-object-pose)

- Multimodal Templates for Real-Time Detection of Texture-less Objects in Heavily Cluttered Scenes - 2011 [[paper]](http://campar.in.tum.de/pub/hinterstoisser2011linemod/hinterstoisser2011linemod.pdf) [[code]](http://campar.in.tum.de/pub/hinterstoisser2011linemod/hinterstoisser2011linemod.pdf)
- Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image - 2016 IEEE [[paper]](http://wwwpub.zih.tu-dresden.de/~cvweb/publications/papers/2016/rgbpose.pdf)
### Deep learning Based
- BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models - 2021 IROS [[paper]](https://arxiv.org/abs/2108.00516)[[github]](https://github.com/wenbowen123/BundleTrack)

- bb8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth - 2017 ICCV [[paper]](https://arxiv.org/abs/1703.10896)[[ppt]](https://github.com/MyungHaSong/Awesome-object-pose-estimation/blob/master/bb8.pdf)
- iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects - 2017 [[paper]](https://arxiv.org/abs/1712.01924)

- PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes - 2017 [[paper]](https://arxiv.org/abs/1711.00199)[[code]](https://github.com/yuxng/PoseCNN)

- Real-Time Seamless Single Shot 6D Object Pose Prediction - 2018 [[paper]](https://arxiv.org/abs/1711.08848)[[code]](https://github.com/Microsoft/singleshotpose)

- Deep Object Pose Estimation for Segmantic Robotic Grasping of Household Objects-2018 [[paper]](https://arxiv.org/abs/1809.10790)[[code]](https://github.com/NVlabs/Deep_Object_Pose)

- Deep-6DPose: Recovering 6D Object Pose from a Single RGB Image - 2018 [[paper]](https://arxiv.org/abs/1802.10367)
- DeepIM: Deep Iterative Matching for 6D Pose Estimation - 2018 [[paper]](https://arxiv.org/abs/1804.00175)[[code]](https://github.com/liyi14/mx-DeepIM)
- PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation -2018 [[paper]](https://arxiv.org/pdf/1812.11788.pdf)[[code]](https://github.com/zju3dv/pvnet)

- 6D Object Pose Estimation Based on 2D Bounding Box - 2019 WSPC [[paper]](https://arxiv.org/abs/1901.09366)

- 6D Object Pose Estimation without PnP -2019 [[paper]](https://arxiv.org/abs/1902.01728)

- Implicit 3D Orientation Learning for 6D Object Detection from RGB Images - 2018 ECCV [[paper]](https://arxiv.org/abs/1902.01275)

- Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation -2019 CVPR [[paper]](https://arxiv.org/abs/1901.02970)[[code]](https://github.com/hughw19/NOCS_CVPR2019)



- DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion -2019 CVPR [[paper]](https://arxiv.org/abs/1901.04780)[[code]](https://github.com/j96w/DenseFusion)[[Code Review]](https://github.com/MyungHaSong/DenseFusion-Code-Review)

- Segmentation-driven 6D Object Pose Estimation - 2019 CVPR [[paper]](https://arxiv.org/pdf/1812.02541.pdf)[[code]](https://github.com/cvlab-epfl/segmentation-driven-pose)

- DPOD: 6D Pose Object Detector and Refiner -2019 ICCV [[paper]](https://arxiv.org/pdf/1902.11020.pdf)

- Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data -2019 ICCV[[paper]](https://arxiv.org/abs/1812.00287)

- W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression - 2019 CoRL[[paper]](https://arxiv.org/pdf/1912.11888.pdf)

- 6D Pose Estimation with Correlation Fusion - 2019 arXiv.org [[paper]](https://arxiv.org/abs/1909.12936)

- PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation -2020 CVPR [[paper]](https://arxiv.org/abs/1911.04231)[[code]](https://github.com/ethnhe/PVN3D)
- PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation - 2020 CVPR [[paper]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Shao_PFRL_Pose-Free_Reinforcement_Learning_for_6D_Pose_Estimation_CVPR_2020_paper.pdf)
- EPOS: Estimating 6D Pose of Objects with Symmetries - 2020 CVPR [[paper]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Hodan_EPOS_Estimating_6D_Pose_of_Objects_With_Symmetries_CVPR_2020_paper.pdf)
Expand All @@ -53,17 +55,18 @@ This repository is a list of papers and open source code for 6D Object Pose Esti
- G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features 2020 CVPR [[paper]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_G2L-Net_Global_to_Local_Network_for_Real-Time_6D_Pose_Estimation_CVPR_2020_paper.pdf)
- HybridPose: 6D Object Pose Estimation under Hybrid Representations[[paper]](https://openaccess.thecvf.com/content_CVPR_2020/papers/Song_HybridPose_6D_Object_Pose_Estimation_Under_Hybrid_Representations_CVPR_2020_paper.pdf)
- Multi-Path Learning for Object Pose Estimation Across Domains[[paper]](https://openaccess.thecvf.com/content_CVPR_2020/html/Sundermeyer_Multi-Path_Learning_for_Object_Pose_Estimation_Across_Domains_CVPR_2020_paper.html) - 2020CVPR
- se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains 2020 IROS [[paper]](https://arxiv.org/abs/2007.13866)
- se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains 2020 IROS [[paper]](https://arxiv.org/abs/2007.13866) [[github]](https://github.com/wenbowen123/iros20-6d-pose-tracking)
- PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation [[paper]](https://arxiv.org/abs/2008.00326)
- CosyPose: Consistent multi-view multi-object 6D pose estimation ECCV 2020[[paper]](https://arxiv.org/abs/2008.08465)







---
## Database

- LINEMOD[[link]](http://campar.in.tum.de/Main/StefanHinterstoisser)
- OccludedLINEMOD[[link]](https://hci.iwr.uni-heidelberg.de/vislearn/iccv2015-occlusion-challenge/)
- T-Less[[link]](http://cmp.felk.cvut.cz/t-less/)
- YCBInEOAT Dataset[[link]](https://github.com/wenbowen123/iros20-6d-pose-tracking)
- YCB Video Dataset[[link]](http://www.ycbbenchmarks.com/)