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HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation
Wencan Cheng, Gim Hee Lee
3D hand pose estimation that involves accurate estimation of 3D human hand keypoint locations is crucial for many human-computer interaction applications such as augmented reality.…
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose Estimation
Wencan Cheng, Eunji Kim, Jong Hwan Ko
The extraction of keypoint positions from input hand frames, known as 3D hand pose estimation, is crucial for various human-computer interaction applications. However, current appr…
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
Wencan Cheng, Hao Tang, Luc Van Gool +1
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 h…
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
Wencan Cheng, Jong Hwan Ko
Scene flow estimation, which extracts point-wise motion between scenes, is becoming a crucial task in many computer vision tasks. However, all of the existing estimation methods ut…
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
Wencan Cheng, Jae Hyun Park, Jong Hwan Ko
With increasing applications of 3D hand pose estimation in various human-computer interaction applications, convolution neural networks (CNNs) based estimation models have been act…