AGRoL: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model

[https://research.facebook.com/publications/avatars-grow-legs-generating-smooth-human-motion-from-sparse-tracking-inputs-with-diffusion-model/](https://research.facebook.com/publications/avatars-grow-legs-generating-smooth-human-motion-from-sparse-tracking-inputs-with-diffusion-model/)

By: Yuming Du, Robin Kips, [**Albert Pumarola**](https://research.facebook.com/people/pumarola-albert/), Sebastian Starke, Ali Thabet, Artsiom Sanakoyeu

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>With the recent popularity spike of AR/VR applications, realistic and accurate control of 3D full-body avatars is a highly demanded feature. A particular challenge is that only a sparse tracking signal is available from standalone HMDs (Head Mounted Devices) and it is often limited to tracking the user’s head and wrist. While this signal is resourceful for reconstructing the upper body motion, the lower body …

applications avatars challenge computervision control devices diffusion diffusion model feature head human information novel paper signal synthesized tracking