6D Pose Estimation
96 papers with code • 5 benchmarks • 17 datasets
Image: Zeng et al
Benchmarks
These leaderboards are used to track progress in 6D Pose Estimation
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Libraries
Use these libraries to find 6D Pose Estimation models and implementations
YCB-Video
REAL275
HomebrewedDB
ApolloCar3D
NERDS 360
CORSMAL
SMOT
Most implemented papers
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation
Moreover, at the output representation stage, we designed a simple but effective 3D keypoints selection algorithm considering the texture and geometry information of objects, which simplifies keypoint localization for precise pose estimation.
CenterSnap: Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation
This paper studies the complex task of simultaneous multi-object 3D reconstruction, 6D pose and size estimation from a single-view RGB-D observation.
GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting
lolrudy/gpv_pose
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CVPR 2022
While 6D object pose estimation has recently made a huge leap forward, most methods can still only handle a single or a handful of different objects, which limits their applications.
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
The approach was part of the MIT-Princeton Team system that took 3rd- and 4th- place in the stowing and picking tasks, respectively at APC 2016.
T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects
There are approximately 39K training and 10K test images from each sensor.
DeepIM: Deep Iterative Matching for 6D Pose Estimation
liyi14/mx-DeepIM
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ECCV 2018
Estimating the 6D pose of objects from images is an important problem in various applications such as robot manipulation and virtual reality.
SilhoNet: An RGB Method for 6D Object Pose Estimation
gidobot/SilhoNet
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Autonomous robot manipulation involves estimating the translation and orientation of the object to be manipulated as a 6-degree-of-freedom (6D) pose.
DPOD: 6D Pose Object Detector and Refiner
An additional RGB pose refinement of the initial pose estimates is performed using a custom deep learning-based refinement scheme.
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
To seamlessly combine deep learning and geometric vision, it is vital to perform learning and geometric optimization end-to-end.
6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
j96w/6-PACK
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We present 6-PACK, a deep learning approach to category-level 6D object pose tracking on RGB-D data.
