6D Pose Estimation using RGBD
26 papers with code • 8 benchmarks • 6 datasets
Image: Zeng et al
Benchmarks
These leaderboards are used to track progress in 6D Pose Estimation using RGBD
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Libraries
Use these libraries to find 6D Pose Estimation using RGBD models and implementations
YCB-Video
T-LESS
REAL275
6IMPOSE
Drunkard's Dataset
Latest papers with no code
GenPose: Generative Category-level Object Pose Estimation via Diffusion Models
Object pose estimation plays a vital role in embodied AI and computer vision, enabling intelligent agents to comprehend and interact with their surroundings.
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
Inspired by recent multi-modal UDA techniques, the proposed method exploits a teacher-student self-supervised learning scheme to train a pose estimation network without using target domain pose labels.
W-PoseNet: Dense Correspondence Regularized Pixel Pair Pose Regression
Solving 6D pose estimation is non-trivial to cope with intrinsic appearance and shape variation and severe inter-object occlusion, and is made more challenging in light of extrinsic large illumination changes and low quality of the acquired data under an uncontrolled environment.
