Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
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 …
monocular RGBD video sequence, while simultaneously performing neural 3D …
Behave: Dataset and method for tracking human object interactions
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 …
many applications including gaming, virtual and mixed reality, as well as human behavior …
ARCTIC: A dataset for dexterous bimanual hand-object manipulation
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 …
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 …
many applications in robotics, graphics, and vision. Recent works to reconstruct the 3D …
Mobrecon: Mobile-friendly hand mesh reconstruction from monocular image
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 …
simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal …
Human-aware object placement for visual environment reconstruction
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 …
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
Learning how humans manipulate objects requires machines to acquire knowledge from
two perspectives: one for understanding object affordances and the other for learning …
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?
The intimate entanglement between objects affordances and human poses is of large
interest, among others, for behavioural sciences, cognitive psychology, and Computer …
interest, among others, for behavioural sciences, cognitive psychology, and Computer …
gsdf: Geometry-driven signed distance functions for 3d hand-object reconstruction
Signed distance functions (SDFs) is an attractive framework that has recently shown
promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to …
promising results for 3D shape reconstruction from images. SDFs seamlessly generalize to …
Contactgen: Generative contact modeling for grasp generation
This paper presents a novel object-centric contact representation ContactGen for hand-
object interaction. The ContactGen comprises 3 components: a contact map indicates the …
object interaction. The ContactGen comprises 3 components: a contact map indicates the …