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Found 5 papers, 5 papers with code
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
Extracting keypoint locations from input hand frames, known as 3D hand pose estimation, is a critical task in various human-computer interaction applications.
HandR2N2: Iterative 3D Hand Pose Estimation Using a Residual Recurrent Neural Network
3D hand pose estimation is a critical task in various human-computer interaction applications.
Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation
Scene flow estimation provides the fundamental motion perception of a dynamic scene, which is of practical importance in many computer vision applications.
Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation
Scene flow estimation, which extracts point-wise motion between scenes, is becoming a crucial task in many computer vision tasks.
HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton
With increasing applications of 3D hand pose estimation in various human-computer interaction applications, convolution neural networks (CNNs) based estimation models have been actively explored.
Ranked #3 on
Hand Pose Estimation
on ICVL Hands
