Hand trajectories linearly decoded from MARBLE representations show much stronger spatial correspondence to ground-truth kinematics than other deep learning methods (IMAGE)

Ecole Polytechnique Fédérale de Lausanne

Hand trajectories linearly decoded from MARBLE representations show much stronger spatial correspondence to ground-truth kinematics than other deep learning methods

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Hand trajectories linearly decoded from MARBLE representations show much stronger spatial correspondence to ground-truth kinematics (top row) than other deep learning methods (LFADS, bottom row) © LTS2 EPFL

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