Cover Image

EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Zixuan, Pöllabauer, Thomas, Wirth, Tristan, Berkei, Sarah, Knauthe, Volker, Kuijper, Arjan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving 6D Object Pose Estimation of metallic Household and Industry Objects
by: Pöllabauer, Thomas, et al.
Published: (2025)

Extending 6D Object Pose Estimators for Stereo Vision
by: Pöllabauer, Thomas, et al.
Published: (2024)

End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
by: Pöllabauer, Thomas, et al.
Published: (2024)

FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
by: Pöllabauer, Thomas, et al.
Published: (2024)

Fast Training Data Acquisition for Object Detection and Segmentation using Black Screen Luminance Keying
by: Pöllabauer, Thomas, et al.
Published: (2024)

Semantic Segmentation of Transparent and Opaque Drinking Glasses with the Help of Zero-shot Learning
by: Blänsdorf, Annalena, et al.
Published: (2025)

One-to-many Reconstruction of 3D Geometry of cultural Artifacts using a synthetically trained Generative Model
by: Pöllabauer, Thomas, et al.
Published: (2024)

Transparency Distortion Robustness for SOTA Image Segmentation Tasks
by: Knauthe, Volker, et al.
Published: (2024)

Influence of Water Droplet Contamination for Transparency Segmentation
by: Knauthe, Volker, et al.
Published: (2024)

Detection and Pose Estimation of flat, Texture-less Industry Objects on HoloLens using synthetic Training
by: Pöllabauer, Thomas, et al.
Published: (2024)

FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
by: Wen, Bowen, et al.
Published: (2023)

GS2Pose: Two-stage 6D Object Pose Estimation Guided by Gaussian Splatting
by: Mei, Jilan, et al.
Published: (2024)

Any6D: Model-free 6D Pose Estimation of Novel Objects
by: Lee, Taeyeop, et al.
Published: (2025)

Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
by: Wursthorn, Kira, et al.
Published: (2024)

DecomPose: Disentangling Cross-Category Optimization Contention for Category-Level 6D Object Pose Estimation
by: Gao, Yifan, et al.
Published: (2026)

YCB-LUMA: YCB Object Dataset with Luminance Keying for Object Localization
by: Pöllabauer, Thomas
Published: (2024)

Learning Point Cloud Representations with Pose Continuity for Depth-Based Category-Level 6D Object Pose Estimation
by: Li, Zhujun, et al.
Published: (2025)

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation
by: Zhang, Mengchen, et al.
Published: (2024)

VLM6D: VLM based 6Dof Pose Estimation based on RGB-D Images
by: Sarowar, Md Selim, et al.
Published: (2025)

RDPN6D: Residual-based Dense Point-wise Network for 6Dof Object Pose Estimation Based on RGB-D Images
by: Hong, Zong-Wei, et al.
Published: (2024)

V-HOP: Visuo-Haptic 6D Object Pose Tracking
by: Li, Hongyu, et al.
Published: (2025)

Box6D : Zero-shot Category-level 6D Pose Estimation of Warehouse Boxes
by: Ma, Yintao, et al.
Published: (2025)

DreamPose3D: Hallucinative Diffusion with Prompt Learning for 3D Human Pose Estimation
by: Bright, Jerrin, et al.
Published: (2025)

Mask6D: Masked Pose Priors For 6D Object Pose Estimation
by: Xie, Yuechen, et al.
Published: (2025)

Hourglass Tokenizer for Efficient Transformer-Based 3D Human Pose Estimation
by: Li, Wenhao, et al.
Published: (2023)

Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach
by: Lee, Hoosang, et al.
Published: (2025)

PoseGRAF: Geometric-Reinforced Adaptive Fusion for Monocular 3D Human Pose Estimation
by: Xu, Ming, et al.
Published: (2025)

PoseMoE: Mixture-of-Experts Network for Monocular 3D Human Pose Estimation
by: Liu, Mengyuan, et al.
Published: (2025)

JRDB-Pose3D: A Multi-person 3D Human Pose and Shape Estimation Dataset for Robotics
by: Biswas, Sandika, et al.
Published: (2026)

Physics-Informed Machine Learning for Efficient Sim-to-Real Data Augmentation in Micro-Object Pose Estimation
by: Tan, Zongcai, et al.
Published: (2025)

WALDO: Where Unseen Model-based 6D Pose Estimation Meets Occlusion
by: Pakdamansavoji, Sajjad, et al.
Published: (2025)

Exploiting Spatiotemporal Properties for Efficient Event-Driven Human Pose Estimation
by: Zhou, Haoxian, et al.
Published: (2025)

HccePose(BF): Predicting Front & Back Surfaces to Construct Ultra-Dense 2D-3D Correspondences for Pose Estimation
by: Wang, Yulin, et al.
Published: (2025)

SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation In Bin-picking Scenarios
by: Huang, Ding-Tao, et al.
Published: (2024)

TransPose: 6D Object Pose Estimation with Geometry-Aware Transformer
by: Lin, Xiao, et al.
Published: (2023)

SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views
by: Xu, Chao, et al.
Published: (2024)

ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
by: Rommel, Cédric, et al.
Published: (2023)

BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos
by: Koleini, Farnoosh, et al.
Published: (2025)

Demo-Pose: Depth-Monocular Modality Fusion For Object Pose Estimation
by: Agarwal, Rachit, et al.
Published: (2026)

PoseSyn: Synthesizing Diverse 3D Pose Data from In-the-Wild 2D Data
by: Yang, ChangHee, et al.
Published: (2025)