csldali / awesome-object-pose

This repository is a curated list of papers and open source code for 6D Object Pose Estimation.

awesome-object-pose

This repository is a curated list of papers and open source code for 6D Object Pose Estimation.

Papers

• Holistic and local patch framework for 6D object pose estimation in RGB-D images - Haoruo Zhang, Qixin Cao. [Paper]
• Real-Time 6D Object Pose Estimation on CPU - Yoshinori Konishi, Kosuke Hattori, Manabu Hashimoto. [Paper]
• Real-Time Object Pose Estimation with Pose Interpreter Networks- Jimmy Wu, Bolei Zhou, Rebecca Russell, Vincent Kee, Syler Wagner, Mitchell Hebert, Antonio Torralba, David M.S. Johnson. [Paper]
• Segmentation-driven 6D Object Pose Estimation - Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann. [Paper]
• Robust 6D Object Pose Estimation with Stochastic Congruent Sets - Chaitanya Mitash, Abdeslam Boularias, Kostas E. Bekris. [Paper]
• BOP: Benchmark for 6D Object Pose Estimation - Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother. [Paper]
• Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects - Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield. [Paper]
• PoseCNN: Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes - Yu Xiang, Tanner Schmidt, Venkatraman Narayanan and Dieter Fox. [Paper]
• Multi-view 6D Object Pose Estimation and Camera Motion Planning Using RGBD Images - Juil Sock, S. Hamidreza Kasaei, Luís Seabra Lopes, Tae-Kyun Kim. [Paper]
• Global Hypothesis Generation for 6D Object Pose Estimation - Frank Michel, Alexander Kirillov,Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother. [Paper]
• BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth - Mahdi Rad, Vincent Lepetit. [Paper]
• Real-Time Seamless Single Shot 6D Object Pose Prediction - Bugra Tekin, Sudipta N. Sinha, Pascal Fua. [Paper]
• SSD-6D: Making RGB-based 3D detection and 6D pose estimation great again - Wadim Kehl, Fabian Manhardt, Federico Tombari, Slobodan Ilic, Nassir Navab. [Paper]
• Deep-6DPose: Recovering 6D Object Pose from a SingThe MOPED framework: Object recognition and pose estimation for manipulation - le RGB Image - Thanh-Toan Do, Ming Cai, Trung Pham, Ian Reid. [Paper]
• Learning 6D Object Pose Estimation Using 3D Object Coordinates - Eric BrachmannAlexander KrullFrank MichelStefan GumholdJamie ShottonCarsten Rother. [Paper]
• The MOPED framework: Object recognition and pose estimation for manipulation - Alvaro Collet Romea, Manuel Martinez Torres and Siddhartha Srinivasa. [Paper]

Code

• PoseCNN
• Single Shot Pose Estimation
• SSD-6D
• Dope Object Pose Estimation
• Pose Interpreter Networks

Datasets

• LINEMOD
• OccludedLINEMOD
• YCB Video Dataset [Dataset] [Code]
• Falling Things [Dataset] [Paper]
• Rutgers 6D Object Pose Estimation [Dataset]

Tutorials

• Real-time pose estimation of a textured object[Link]
• Pose estimation from points[Link]