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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

Showing 101150 of 233 papers

TitleStatusHype
Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd0
Recovering 6D Object Pose: A Review and Multi-modal Analysis0
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers0
Classification of Single-View Object Point Clouds0
6D-Diff: A Keypoint Diffusion Framework for 6D Object Pose Estimation0
6D Object Pose Estimation Based on 2D Bounding Box0
6D Object Pose Estimation from Approximate 3D Models for Orbital Robotics0
6D Object Pose Estimation using Keypoints and Part Affinity Fields0
6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality0
6D Object Pose Estimation without PnP0
6DOPE-GS: Online 6D Object Pose Estimation using Gaussian Splatting0
6D Pose Estimation using an Improved Method based on Point Pair Features0
6D Pose Estimation with Correlation Fusion0
6D Robotic Assembly Based on RGB-only Object Pose Estimation0
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning0
Accurate 6D Object Pose Estimation by Pose Conditioned Mesh Reconstruction0
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation0
A mixed-reality dataset for category-level 6D pose and size estimation of hand-occluded containers0
A Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation0
A Pose Proposal and Refinement Network for Better Object Pose Estimation0
Any6D: Model-free 6D Pose Estimation of Novel Objects0
A Review on Object Pose Recovery: from 3D Bounding Box Detectors to Full 6D Pose Estimators0
A Summary of the 4th International Workshop on Recovering 6D Object Pose0
AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation0
Object Pose Estimation in Robotics Revisited0
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects0
BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects0
BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation0
Category Level 6D Object Pose Estimation from a Single RGB Image using Diffusion0
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset0
Category-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data0
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks0
Category-Level 6D Object Pose Estimation with Flexible Vector-Based Rotation Representation0
Category-level 6D Object Pose Recovery in Depth Images0
Category-Level and Open-Set Object Pose Estimation for Robotics0
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation0
Center-Based Decoupled Point-cloud Registration for 6D Object Pose Estimation0
Challenges for Monocular 6D Object Pose Estimation in Robotics0
Conscious Inference for Object Detection0
Context-aware 6D Pose Estimation of Known Objects using RGB-D data0
ConvPoseCNN: Dense Convolutional 6D Object Pose Estimation0
COPE: End-to-end trainable Constant Runtime Object Pose Estimation0
Deep Learning of Local RGB-D Patches for 3D Object Detection and 6D Pose Estimation0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation0
End-to-End Differentiable 6DoF Object Pose Estimation with Local and Global Constraints0
End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation0
Enhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection0
Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction0
Extending 6D Object Pose Estimators for Stereo Vision0
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