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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 8190 of 233 papers

TitleStatusHype
Real-Time Seamless Single Shot 6D Object Pose PredictionCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
PoseMatcher: One-shot 6D Object Pose Estimation by Deep Feature MatchingCode0
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose TrackingCode0
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose EstimationCode0
Level-Set Parameters: Novel Representation for 3D Shape AnalysisCode0
Modular Quantization-Aware Training for 6D Object Pose EstimationCode0
Estimating 6D Pose From Localizing Designated Surface KeypointsCode0
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose EstimationCode0
Ambiguity-Aware Multi-Object Pose Optimization for Visually-Assisted Robot ManipulationCode0
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