MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video

Renat Bashirov, Alexey Larionov, Evgeniya Ustinova, Mikhail Sidorenko, David Svitov +2 more
3/17/2023
cs.CV

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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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Cite this paper

@article{bashirov2023morf,
  title  = {MoRF: Mobile Realistic Fullbody Avatars from a Monocular Video},
  author = {Renat Bashirov and Alexey Larionov and Evgeniya Ustinova and Mikhail Sidorenko and David Svitov and Ilya Zakharkin and Victor Lempitsky},
  year   = {2023},
  eprint = {2303.10275},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.10275v2}
}

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