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 implementationsDatasets
YCB-Video
REAL275
HomebrewedDB
ApolloCar3D
NERDS 360
CORSMAL
3D-BSLS-6D
Latest papers with no code
ASDF: Assembly State Detection Utilizing Late Fusion by Integrating 6D Pose Estimation
Existing work, combining object detection/6D pose estimation and assembly state detection focuses either on pure deep learning-based approaches, or limit the assembly state detection to building blocks.
Zero123-6D: Zero-shot Novel View Synthesis for RGB Category-level 6D Pose Estimation
Estimating the pose of objects through vision is essential to make robotic platforms interact with the environment.
Advancing 6D Pose Estimation in Augmented Reality -- Overcoming Projection Ambiguity with Uncontrolled Imagery
This study addresses the challenge of accurate 6D pose estimation in Augmented Reality (AR), a critical component for seamlessly integrating virtual objects into real-world environments.
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images
MatchU is a generic approach that fuses 2D texture and 3D geometric cues for 6D pose prediction of unseen objects.
Extending 6D Object Pose Estimators for Stereo Vision
Estimating the 6D pose of objects accurately, quickly, and robustly remains a difficult task.
Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
Current state-of-the-art 6d pose estimation is too compute intensive to be deployed on edge devices, such as Microsoft HoloLens (2) or Apple iPad, both used for an increasing number of augmented reality applications.
Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation
Accurately estimating the pose of an object is a crucial task in computer vision and robotics.
RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos
WildRGB-D comprises large-scale category-level RGB-D object videos, which are taken using an iPhone to go around the objects in 360 degrees.
iComMa: Inverting 3D Gaussian Splatting for Camera Pose Estimation via Comparing and Matching
We present a method named iComMa to address the 6D camera pose estimation problem in computer vision.
Open-vocabulary object 6D pose estimation
We introduce the new setting of open-vocabulary object 6D pose estimation, in which a textual prompt is used to specify the object of interest.
