Monocular Expressive 3D Human Reconstruction of Multiple People
Whole-body pose estimation aims to regress human pose models that include the body,
hand, and facial details from RGB images. While the task of whole-body mesh recovery has …
hand, and facial details from RGB images. While the task of whole-body mesh recovery has …
Neural Parametric Human Hand Modeling with Point Cloud Representation
Recently, multi-layer perceptron-based implicit representations have achieved remarkable
successes in hand modeling. Compared with previous explicit mesh-based representation …
successes in hand modeling. Compared with previous explicit mesh-based representation …
Two Hands Are Better Than One: Resolving Hand to Hand Intersections via Occupancy Networks
M Ivashechkin, O Mendez, R Bowden - arXiv preprint arXiv:2404.05414, 2024 - arxiv.org
3D hand pose estimation from images has seen considerable interest from the literature,
with new methods improving overall 3D accuracy. One current challenge is to address hand …
with new methods improving overall 3D accuracy. One current challenge is to address hand …
Generative Hierarchical Temporal Transformer for Hand Action Recognition and Motion Prediction
We present a novel framework that concurrently tackles hand action recognition and 3D
future hand motion prediction. While previous works focus on either recognition or …
future hand motion prediction. While previous works focus on either recognition or …
Beyond-Voice: Towards Continuous 3D Hand Pose Tracking on Commercial Home Assistant Devices
The surging popularity of home assistants and their voice user interface (VUI) have made
them an ideal central control hub for smart home devices. However, current form factors …
them an ideal central control hub for smart home devices. However, current form factors …
4DHands: Reconstructing Interactive Hands in 4D with Transformers
D Lin, Y Zhang, M Li, Y Liu, W Jing, Q Yan… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we introduce 4DHands, a robust approach to recovering interactive hand
meshes and their relative movement from monocular inputs. Our approach addresses two …
meshes and their relative movement from monocular inputs. Our approach addresses two …
Coarse-to-fine cascaded 3D hand reconstruction based on SSGC and MHSA
W Yang, L Xie, W Qian, C Wu, H Yang - The Visual Computer, 2024 - Springer
Recently, graph convolution networks have become the mainstream methods in 3D hand
pose and mesh estimation, but there are still some issues hindering its further development …
pose and mesh estimation, but there are still some issues hindering its further development …
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
Z Liu, G Lin, C Wang, M Zheng, F Zhu - arXiv preprint arXiv:2307.16061, 2023 - arxiv.org
With an enormous number of hand images generated over time, unleashing pose
knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet …
knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet …
LGCANet: lightweight hand pose estimation network based on HRNet
X Pan, S Li, H Wang, B Wang, H Wang - The Journal of Supercomputing, 2024 - Springer
Hand pose estimation is a fundamental task in computer vision with applications in virtual
reality, gesture recognition, autonomous driving, and virtual surgery. Keypoint detection …
reality, gesture recognition, autonomous driving, and virtual surgery. Keypoint detection …
HandSSCA: 3D Hand Mesh Reconstruction with State Space Channel Attention from RGB images
Z Jiao, X Wang, Q Gao - arXiv preprint arXiv:2405.01066, 2024 - arxiv.org
Reconstructing a hand mesh from a single RGB image is a challenging task because hands
are often occluded by objects. Most previous works attempted to introduce more additional …
are often occluded by objects. Most previous works attempted to introduce more additional …