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[HTML][HTML] A survey on hand pose estimation with wearable sensors and computer-vision-based methods
W Chen, C Yu, C Tu, Z Lyu, J Tang, S Ou, Y Fu, Z Xue - Sensors, 2020 - mdpi.com
Real-time sensing and modeling of the human body, especially the hands, is an important
research endeavor for various applicative purposes such as in natural human computer …
research endeavor for various applicative purposes such as in natural human computer …
Affordance diffusion: Synthesizing hand-object interactions
Y Ye, X Li, A Gupta, S De Mello… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent successes in image synthesis are powered by large-scale diffusion models.
However, most methods are currently limited to either text-or image-conditioned generation …
However, most methods are currently limited to either text-or image-conditioned generation …
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 …
Assemblyhands: Towards egocentric activity understanding via 3d hand pose estimation
We present AssemblyHands, a large-scale benchmark dataset with accurate 3D hand pose
annotations, to facilitate the study of egocentric activities with challenging hand-object …
annotations, to facilitate the study of egocentric activities with challenging hand-object …
Survey on depth and RGB image-based 3D hand shape and pose estimation
The field of vision-based human hand three-dimensional (3D) shape and pose estimation
has attracted significant attention recently owing to its key role in various applications, such …
has attracted significant attention recently owing to its key role in various applications, such …
Interhand2. 6m: A dataset and baseline for 3d interacting hand pose estimation from a single rgb image
G Moon, SI Yu, H Wen, T Shiratori, KM Lee - Computer Vision–ECCV 2020 …, 2020 - Springer
Abstract Analysis of hand-hand interactions is a crucial step towards better understanding
human behavior. However, most researches in 3D hand pose estimation have focused on …
human behavior. However, most researches in 3D hand pose estimation have focused on …
Freihand: A dataset for markerless capture of hand pose and shape from single rgb images
C Zimmermann, D Ceylan, J Yang… - Proceedings of the …, 2019 - openaccess.thecvf.com
Estimating 3D hand pose from single RGB images is a highly ambiguous problem that relies
on an unbiased training dataset. In this paper, we analyze cross-dataset generalization …
on an unbiased training dataset. In this paper, we analyze cross-dataset generalization …
Learning joint reconstruction of hands and manipulated objects
Estimating hand-object manipulations is essential for in-terpreting and imitating human
actions. Previous work has made significant progress towards reconstruction of hand poses …
actions. Previous work has made significant progress towards reconstruction of hand poses …
Understanding human hands in contact at internet scale
Hands are the central means by which humans manipulate their world and being able to
reliably extract hand state information from Internet videos of humans engaged in their …
reliably extract hand state information from Internet videos of humans engaged in their …