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6D Pose Estimation using RGB

6D Pose Estimation using RGB refers to the task of determining the six degree-of-freedom (6D) pose of an object in 3D space based on RGB images. This involves estimating the position and orientation of an object in a scene, and is a fundamental problem in computer vision and robotics. In this task, the goal is to estimate the 6D pose of an object given an RGB image of the object and the scene, which can be used for tasks such as robotic manipulation, augmented reality, and scene reconstruction.

( Image credit: Segmentation-driven 6D Object Pose Estimation )

Papers

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Showing 151–200 of 233 papers

TitleStatusHype
FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation—0
LocPoseNet: Robust Location Prior for Unseen Object Pose Estimation—0
From Words to Poses: Enhancing Novel Object Pose Estimation with Vision Language Models—0
GenFlow: Generalizable Recurrent Flow for 6D Pose Refinement of Novel Objects—0
Global Hypothesis Generation for 6D Object Pose Estimation—0
GMFlow: Global Motion-Guided Recurrent Flow for 6D Object Pose Estimation—0
Going Further with Point Pair Features—0
GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects—0
HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation—0
HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data—0
HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects—0
HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation—0
Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation—0
Improving 6D Object Pose Estimation of metallic Household and Industry Objects—0
Improving 6D Pose Estimation of Objects in Clutter via Physics-aware Monte Carlo Tree Search—0
Instance- and Category-level 6D Object Pose Estimation—0
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation—0
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects—0
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation—0
Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions—0
SHREC 2020 track: 6D Object Pose Estimation—0
SilhoNet-Fisheye: Adaptation of A ROI Based Object Pose Estimation Network to Monocular Fisheye Images—0
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking—0
Single Shot 6D Object Pose Estimation—0
SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation—0
SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation—0
SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations—0
Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices—0
Spatial Attention Improves Iterative 6D Object Pose Estimation—0
StablePose: Learning 6D Object Poses from Geometrically Stable Patches—0
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation—0
Stereo Vision Based Single-Shot 6D Object Pose Estimation for Bin-Picking by a Robot Manipulator—0
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images—0
Targeted Hard Sample Synthesis Based on Estimated Pose and Occlusion Error for Improved Object Pose Estimation—0
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation—0
Three-Filters-to-Normal+: Revisiting Discontinuity Discrimination in Depth-to-Normal Translation—0
Towards real-time 6D pose estimation of objects in single-view cone-beam X-ray—0
Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy—0
TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer—0
TransPose: A Transformer-based 6D Object Pose Estimation Network with Depth Refinement—0
UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References—0
Uncertainty-Driven 6D Pose Estimation of Objects and Scenes From a Single RGB Image—0
Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation—0
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation—0
YOLOPose: Transformer-based Multi-Object 6D Pose Estimation using Keypoint Regression—0
YOLOPose V2: Understanding and Improving Transformer-based 6D Pose Estimation—0
Certifying Robustness of Learning-Based Keypoint Detection and Pose Estimation Methods—0
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