HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
W Cheng, H Tang, L Van Gool… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Extracting keypoint locations from input hand frames known as 3D hand pose estimation is a
critical task in various human-computer interaction applications. Essentially the 3D hand …
critical task in various human-computer interaction applications. Essentially the 3D hand …
Exploiting Spatial-Temporal Context for Interacting Hand Reconstruction on Monocular RGB Video
Reconstructing interacting hands from monocular RGB data is a challenging task, as it
involves many interfering factors, eg, self-and mutual occlusion and similar textures …
involves many interfering factors, eg, self-and mutual occlusion and similar textures …
3D hand pose and mesh estimation via a generic Topology-aware Transformer model
S Yu, Y Wang, L Chen, X Zhang, J Li - Frontiers in Neurorobotics, 2024 - frontiersin.org
In Human-Robot Interaction (HRI), accurate 3D hand pose and mesh estimation hold critical
importance. However, inferring reasonable and accurate poses in severe self-occlusion and …
importance. However, inferring reasonable and accurate poses in severe self-occlusion and …
[PDF][PDF] Hand LightWeightNet: an optimized hand pose estimation for interactive mobile interfaces.
JF Banzi, S Leonard - International Journal of Electrical & …, 2024 - pdfs.semanticscholar.org
In this paper, a hand pose estimation method is introduced that combines MobileNetV3 and
CrossInfoNet into a single pipeline. The proposed approach is tailored for mobile phone …
CrossInfoNet into a single pipeline. The proposed approach is tailored for mobile phone …