Foundationpose: Unified 6d pose estimation and tracking of novel objects

B Wen, W Yang, J Kautz… - Proceedings of the IEEE …, 2024‏ - openaccess.thecvf.com
We present FoundationPose a unified foundation model for 6D object pose estimation and
tracking supporting both model-based and model-free setups. Our approach can be instantly …

Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects

B Wen, J Tremblay, V Blukis, S Tyree… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
We present a near real-time (10Hz) method for 6-DoF tracking of an unknown object from a
monocular RGBD video sequence, while simultaneously performing neural 3D …

Anygrasp: Robust and efficient grasp perception in spatial and temporal domains

HS Fang, C Wang, H Fang, M Gou, J Liu… - IEEE Transactions …, 2023‏ - ieeexplore.ieee.org
As the basis for prehensile manipulation, it is vital to enable robots to grasp as robustly as
humans. Our innate gras** system is prompt, accurate, flexible, and continuous across …

Deep learning-based object pose estimation: A comprehensive survey

J Liu, W Sun, H Yang, Z Zeng, C Liu, J Zheng… - arxiv preprint arxiv …, 2024‏ - arxiv.org
Object pose estimation is a fundamental computer vision problem with broad applications in
augmented reality and robotics. Over the past decade, deep learning models, due to their …

Onepose: One-shot object pose estimation without cad models

J Sun, Z Wang, S Zhang, X He… - Proceedings of the …, 2022‏ - openaccess.thecvf.com
We propose a new method named OnePose for object pose estimation. Unlike existing
instance-level or category-level methods, OnePose does not rely on CAD models and can …

Hoi4d: A 4d egocentric dataset for category-level human-object interaction

Y Liu, Y Liu, C Jiang, K Lyu, W Wan… - Proceedings of the …, 2022‏ - openaccess.thecvf.com
We present HOI4D, a large-scale 4D egocentric dataset with rich annotations, to catalyze the
research of category-level human-object interaction. HOI4D consists of 2.4 M RGB-D …

Mimicgen: A data generation system for scalable robot learning using human demonstrations

A Mandlekar, S Nasiriany, B Wen, I Akinola… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Imitation learning from a large set of human demonstrations has proved to be an effective
paradigm for building capable robot agents. However, the demonstrations can be extremely …

Gen6d: Generalizable model-free 6-dof object pose estimation from rgb images

Y Liu, Y Wen, S Peng, C Lin, X Long, T Komura… - … on Computer Vision, 2022‏ - Springer
In this paper, we present a generalizable model-free 6-DoF object pose estimator called
Gen6D. Existing generalizable pose estimators either need the high-quality object models or …

Visibility aware human-object interaction tracking from single rgb camera

X **e, BL Bhatnagar… - Proceedings of the IEEE …, 2023‏ - openaccess.thecvf.com
Capturing the interactions between humans and their environment in 3D is important for
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …

Hs-pose: Hybrid scope feature extraction for category-level object pose estimation

L Zheng, C Wang, Y Sun, E Dasgupta… - Proceedings of the …, 2023‏ - openaccess.thecvf.com
In this paper, we focus on the problem of category-level object pose estimation, which is
challenging due to the large intra-category shape variation. 3D graph convolution (3D-GC) …