Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

no code implementations • ICCV 2023 • Baowen Zhang, Jiahe Li, Xiaoming Deng, yinda zhang, Cuixia Ma, Hongan Wang

In this paper, we propose a novel self-supervised approach to learn neural implicit shape representation for deformable objects, which can represent shapes with a template shape and dense correspondence in 3D.

3D Shape Representation Self-Supervised Learning

EvHandPose: Event-based 3D Hand Pose Estimation with Sparse Supervision

no code implementations • 6 Mar 2023 • Jianping Jiang, Jiahe Li, Baowen Zhang, Xiaoming Deng, Boxin Shi

Experiments on EvRealHands demonstrate that EvHandPose outperforms previous event-based methods under all evaluation scenes, achieves accurate and stable hand pose estimation with high temporal resolution in fast motion and strong light scenes compared with RGB-based methods, generalizes well to outdoor scenes and another type of event camera, and shows the potential for the hand gesture recognition task.

3D Hand Pose Estimation Hand Gesture Recognition +1

Interacting Two-Hand 3D Pose and Shape Reconstruction From Single Color Image

no code implementations • ICCV 2021 • Baowen Zhang, Yangang Wang, Xiaoming Deng, yinda zhang, Ping Tan, Cuixia Ma, Hongan Wang

In this paper, we propose a novel deep learning framework to reconstruct 3D hand poses and shapes of two interacting hands from a single color image.

3D Interacting Hand Pose Estimation