May 1, 2023 · We introduce a novel weakly-supervised hand shape estimation framework that integrates non-parametric mesh fitting with MANO model in an end-to-end fashion.
Direct mesh fitting for 3D hand shape reconstruction is highly accurate. However, the reconstructed meshes are prone to artifacts and do not appear as ...
We design four types of architecture to estimate the. MANO parameters, which are used in previous works i.e.,. MANO CNN [1, 9] and MANO Fit [8].
Our joint model overcomes the tradeoff in accuracy and plausibility to yield well-aligned and high-quality 3D meshes, especially in challenging two-hand and ...
However, the problem of understanding human hands in various situations is still an active topic, including hand-object interactions.
[H.FK.14] Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction. CVPR23. [PDF] Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu ...
Our joint model overcomes the tradeoff in accuracy and plausibility to yield well-aligned and high-quality 3D meshes, especially in challenging two-hand and ...
Single Image 3D Hand Reconstruction with Mesh Convolutions
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Overcoming the TradeOff between Accuracy and Plausibility in 3D Hand Shape Reconstruction · Ziwei YuChen Li +4 authors. Angela Yao. Computer Science. 2023 IEEE ...
HiFiHR: Enhancing 3D Hand Reconstruction from a Single Image ... Overcoming the TradeOff between Accuracy and Plausibility in 3D Hand Shape Reconstruction ...