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arXiv · 2303.10275

MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video

Renat Bashirov·Alexey Larionov·Evgeniya Ustinova·Mikhail Sidorenko·David Svitov·Ilya Zakharkin·Victor Lempitsky
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Abstract

We present a system to create Mobile Realistic Fullbody (MoRF) avatars. MoRF avatars are rendered in real-time on mobile devices, learned from monocular videos, and have high realism. We use SMPL-X as a proxy geometry and render it with DNR (neural texture and image-2-image network). We improve on prior work, by overfitting per-frame warping fields in the neural texture space, allowing to better align the training signal between different frames. We also refine SMPL-X mesh fitting procedure to improve the overall avatar quality. In the comparisons to other monocular video-based avatar systems, MoRF avatars achieve higher image sharpness and temporal consistency. Participants of our user study also preferred avatars generated by MoRF.

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Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov, Ilya Zakharkin, Victor Lempitsky. 2023-03-17. MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video. https://arxiv.org/abs/2303.10275

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