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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 126–150 of 233 papers

TitleStatusHype
OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose EstimationCode1
Adversarial samples for deep monocular 6D object pose estimationCode0
Rigidity Preserving Image Transformations and Equivariance in Perspective—0
Pose Estimation of Specific Rigid Objects—0
Polarimetric Pose Prediction—0
ACR-Pose: Adversarial Canonical Representation Reconstruction Network for Category Level 6D Object Pose Estimation—0
ROFT: Real-Time Optical Flow-Aided 6D Object Pose and Velocity TrackingCode1
Occlusion-Robust Object Pose Estimation with Holistic RepresentationCode1
6D-ViT: Category-Level 6D Object Pose Estimation via Transformer-based Instance Representation Learning—0
Learning Stereopsis from Geometric Synthesis for 6D Object Pose Estimation—0
KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation—0
StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation—0
Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks—0
SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose EstimationCode1
BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D ModelsCode1
6D Object Pose Estimation using Keypoints and Part Affinity Fields—0
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation—0
Investigations on Output Parameterizations of Neural Networks for Single Shot 6D Object Pose Estimation—0
DexYCB: A Benchmark for Capturing Hand Grasping of ObjectsCode1
Wide-Depth-Range 6D Object Pose Estimation in SpaceCode1
RePOSE: Fast 6D Object Pose Refinement via Deep Texture RenderingCode1
Generating Annotated Training Data for 6D Object Pose Estimation in Operational Environments with Minimal User InteractionCode1
MBAPose: Mask and Bounding-Box Aware Pose Estimation of Surgical Instruments with Photorealistic Domain Randomization—0
FS-Net: Fast Shape-based Network for Category-Level 6D Object Pose Estimation with Decoupled Rotation MechanismCode1
GDRNPP: A Geometry-guided and Fully Learning-based Object Pose EstimatorCode1
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