Shypd.aiThe largest open index of AI toolshand-graph-cnn is an open-source tool for 3D hand shape and pose estimation from a single RGB image. It reconstructs a full 3D mesh of the hand surface, providing richer information than keypoint estimation.
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hand-graph-cnn is an open-source project based on a CVPR 2019 paper, focusing on 3D hand shape and pose estimation from a single RGB image. Unlike methods that only estimate 3D keypoint locations, this tool utilizes a Graph Convolutional Neural Network (Graph CNN) to reconstruct a complete 3D mesh of the hand surface. This provides more detailed information about both 3D hand shape and pose. The project includes a large-scale synthetic dataset for training and validation, and a weakly-supervised approach for fine-tuning on real-world datasets using depth maps. It offers superior 3D hand pose estimation accuracy compared to state-of-the-art methods.
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