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 …

Behave: Dataset and method for tracking human object interactions

BL Bhatnagar, X Xie, IA Petrov… - Proceedings of the …, 2022 - openaccess.thecvf.com
Modelling interactions between humans and objects in natural environments is central to
many applications including gaming, virtual and mixed reality, as well as human behavior …

ARCTIC: A dataset for dexterous bimanual hand-object manipulation

Z Fan, O Taheri, D Tzionas… - Proceedings of the …, 2023 - openaccess.thecvf.com
Humans intuitively understand that inanimate objects do not move by themselves, but that
state changes are typically caused by human manipulation (eg, the opening of a book). This …

Visibility aware human-object interaction tracking from single rgb camera

X Xie, 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 …

Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image

X Chen, Y Liu, Y Dong, X Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this work, we propose a framework for single-view hand mesh reconstruction, which can
simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal …

Human-aware object placement for visual environment reconstruction

H Yi, CHP Huang, D Tzionas… - Proceedings of the …, 2022 - openaccess.thecvf.com
Humans are in constant contact with the world as they move through it and interact with it.
This contact is a vital source of information for understanding 3D humans, 3D scenes, and …

Oakink: A large-scale knowledge repository for understanding hand-object interaction

L Yang, K Li, X Zhan, F Wu, A Xu… - Proceedings of the …, 2022 - openaccess.thecvf.com
Learning how humans manipulate objects requires machines to acquire knowledge from
two perspectives: one for understanding object affordances and the other for learning …

Object pop-up: Can we infer 3d objects and their poses from human interactions alone?

IA Petrov, R Marin, J Chibane… - Proceedings of the …, 2023 - openaccess.thecvf.com
The intimate entanglement between objects affordances and human poses is of large
interest, among others, for behavioural sciences, cognitive psychology, and Computer …

gsdf: Geometry-driven signed distance functions for 3d hand-object reconstruction

Z Chen, S Chen, C Schmid… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Signed distance functions (SDFs) is an attractive framework that has recently shown
promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to …

Contactgen: Generative contact modeling for grasp generation

S Liu, Y Zhou, J Yang, S Gupta… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents a novel object-centric contact representation ContactGen for hand-
object interaction. The ContactGen comprises 3 components: a contact map indicates the …