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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 51–60 of 233 papers

TitleStatusHype
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose EstimationCode2
Synthetic Data Generation for Bridging Sim2Real Gap in a Production Environment—0
Sim2Real Bilevel Adaptation for Object Surface Classification using Vision-Based Tactile SensorsCode0
SE(3) Diffusion Model-based Point Cloud Registration for Robust 6D Object Pose EstimationCode1
TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer—0
ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers—0
DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose EstimationCode1
VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical RepresentationsCode1
Pseudo Flow Consistency for Self-Supervised 6D Object Pose EstimationCode1
Exploiting Point-Wise Attention in 6D Object Pose Estimation Based on Bidirectional Prediction—0
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