Papers 6D Pose Estimation using RGB
“6D Pose Estimation using RGB” 태그가 달린 논문 233편 · 필터 해제
SenseShift6D: Multimodal RGB-D Benchmarking for Robust 6D Pose Estimation across Environment and Sensor Variations
Recent advances on 6D object-pose estimation has achieved high performance on representative benchmarks such as LM-O, YCB-V, and T-Less. However, these datasets were captured under fixed illumination and camera settings,…
6D Pose Estimation6D Pose Estimation using RGBBenchmarkingData Augmentation+1Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping
Accurate 6D object pose estimation is a prerequisite for successfully completing robotic prehensile and non-prehensile manipulation tasks. At present, 6D pose estimation for robotic manipulation generally relies on depth…
6D Pose Estimation6D Pose Estimation using RGBCamera CalibrationDepth Estimation+3UA-Pose: Uncertainty-Aware 6D Object Pose Estimation and Online Object Completion with Partial References
6D object pose estimation has shown strong generalizability to novel objects. However, existing methods often require either a complete, well-reconstructed 3D model or numerous reference images that fully cover the objec…
6D Pose Estimation using RGBImage to 3DObjectPose EstimationCategory-Level 6D Object Pose Estimation in Agricultural Settings Using a Lattice-Deformation Framework and Diffusion-Augmented Synthetic Data
Accurate 6D object pose estimation is essential for robotic grasping and manipulation, particularly in agriculture, where fruits and vegetables exhibit high intra-class variability in shape, size, and texture. The vast m…
6D Pose Estimation6D Pose Estimation using RGBPose EstimationRobotic GraspingOne2Any: One-Reference 6D Pose Estimation for Any Object
6D object pose estimation remains challenging for many applications due to dependencies on complete 3D models, multi-view images, or training limited to specific object categories. These requirements make generalization …
6D Pose Estimation6D Pose Estimation using RGBObjectPose EstimationCategory-Level and Open-Set Object Pose Estimation for Robotics
Object pose estimation enables a variety of tasks in computer vision and robotics, including scene understanding and robotic grasping. The complexity of a pose estimation task depends on the unknown variables related to …
6D Pose Estimation6D Pose Estimation using RGBObjectPose Estimation+2BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation
We present the evaluation methodology, datasets and results of the BOP Challenge 2024, the 6th in a series of public competitions organized to capture the state of the art in 6D object pose estimation and related tasks. …
6D Pose Estimation using RGBmodelPose EstimationPhysPose: Refining 6D Object Poses with Physical Constraints
Accurate 6D object pose estimation from images is a key problem in object-centric scene understanding, enabling applications in robotics, augmented reality, and scene reconstruction. Despite recent advances, existing met…
6D Pose Estimation using RGBPose EstimationScene UnderstandingVanishing Depth: A Depth Adapter with Positional Depth Encoding for Generalized Image Encoders
Generalized metric depth understanding is critical for precise vision-guided robotics, which current state-of-the-art (SOTA) vision-encoders do not support. To address this, we propose Vanishing Depth, a self-supervised …
6D Pose Estimation using RGBDepth CompletionPose EstimationScene ClassificationAny6D: Model-free 6D Pose Estimation of Novel Objects
We introduce Any6D, a model-free framework for 6D object pose estimation that requires only a single RGB-D anchor image to estimate both the 6D pose and size of unknown objects in novel scenes. Unlike existing methods th…
6D Pose Estimation6D Pose Estimation using RGBObjectPose EstimationMulti-Modal 3D Mesh Reconstruction from Images and Text
6D object pose estimation for unseen objects is essential in robotics but traditionally relies on trained models that require large datasets, high computational costs, and struggle to generalize. Zero-shot approaches eli…
3D Object Reconstruction3D Reconstruction6D Pose Estimation using RGBObject+2AxisPose: Model-Free Matching-Free Single-Shot 6D Object Pose Estimation via Axis Generation
Object pose estimation, which plays a vital role in robotics, augmented reality, and autonomous driving, has been of great interest in computer vision. Existing studies either require multi-stage pose regression or rely …
3D Feature Matching6D Pose Estimation6D Pose Estimation using RGBAutonomous Driving+3Improving 6D Object Pose Estimation of metallic Household and Industry Objects
6D object pose estimation suffers from reduced accuracy when applied to metallic objects. We set out to improve the state-of-the-art by addressing challenges such as reflections and specular highlights in industrial appl…
6D Pose Estimation using RGBPose EstimationScene UnderstandingEfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation
In industrial applications requiring real-time feedback, such as quality control and robotic manipulation, the demand for high-speed and accurate pose estimation remains critical. Despite advances improving speed and acc…
6D Pose Estimation using RGBComputational EfficiencyPose EstimationEnhancing Transparent Object Pose Estimation: A Fusion of GDR-Net and Edge Detection
Object pose estimation of transparent objects remains a challenging task in the field of robot vision due to the immense influence of lighting, background, and reflections. However, the edges of clear objects have the hi…
6D Pose Estimation using RGBEdge DetectionObjectobject-detection+3HIPPo: Harnessing Image-to-3D Priors for Model-free Zero-shot 6D Pose Estimation
This work focuses on model-free zero-shot 6D object pose estimation for robotics applications. While existing methods can estimate the precise 6D pose of objects, they heavily rely on curated CAD models or reference imag…
3D Reconstruction6D Pose Estimation6D Pose Estimation using RGBImage to 3D+2SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow
We introduce SCFlow2, a plug-and-play refinement framework for 6D object pose estimation. Most recent 6D object pose methods rely on refinement to get accurate results. However, most existing refinements either suffe…
6D Pose Estimation using RGBPose EstimationPos3R: 6D Pose Estimation for Unseen Objects Made Easy
Foundation models have significantly reduced the need for task-specific training, while also enhancing generalizability. However, state-of-the-art 6D pose estimators either require further training with pose supervis…
3D Reconstruction6D Pose Estimation6D Pose Estimation using RGBPose EstimationONDA-Pose: Occlusion-Aware Neural Domain Adaptation for Self-Supervised 6D Object Pose Estimation
Self-supervised 6D object pose estimation has received increasing attention in computer vision recently. Some typical works in literature attempt to translate the synthetic images with object pose labels generated by…
6D Pose Estimation using RGBDomain AdaptationObjectPose EstimationA Novel Convolution and Attention Mechanism-based Model for 6D Object Pose Estimation
Estimating 6D object poses from RGB images is challenging because the lack of depth information requires inferring a three dimensional structure from 2D projections. Traditional methods often rely on deep learning with g…
6D Pose Estimation using RGBfeature selectionPose Estimation