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Authors: Paul Knoll 1 ; 2 ; Wieland Morgenstern 1 ; Anna Hilsmann 1 ; 3 and Peter Eisert 3 ; 1

Affiliations: 1 Fraunhofer Heinrich Hertz Institute, HHI, Germany ; 2 Johannes Kepler University Linz, Germany ; 3 Humboldt University of Berlin, Germany

Keyword(s): Computer Vision Representations, Neural Radiance Fields, Animation, Rendering.

Abstract: Creating high-quality controllable 3D human models from multi-view RGB videos poses a significant challenge. Neural radiance fields (NeRFs) have demonstrated remarkable quality in reconstructing and free-viewpoint rendering of static as well as dynamic scenes. The extension to a controllable synthesis of dynamic human performances poses an exciting research question. In this paper, we introduce a novel NeRF-based framework for pose-dependent rendering of human performances. In our approach, the radiance field is warped around an SMPL body mesh, thereby creating a new surface-aligned representation. Our representation can be animated through skeletal joint parameters that are provided to the NeRF in addition to the viewpoint for pose dependent appearances. To achieve this, our representation includes the corresponding 2D UV coordinates on the mesh texture map and the distance between the query point and the mesh. To enable efficient learning despite mapping ambiguities and random visu al variations, we introduce a novel remapping process that refines the mapped coordinates. Experiments demonstrate that our approach results in high-quality renderings for novel-view and novel-pose synthesis. (More)

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Paper citation in several formats:
Knoll, P. ; Morgenstern, W. ; Hilsmann, A. and Eisert, P. (2024). Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8; ISSN 2184-4321, SciTePress, pages 404-413. DOI: 10.5220/0012373800003660

@conference{visapp24,
author={Paul Knoll and Wieland Morgenstern and Anna Hilsmann and Peter Eisert},
title={Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={404-413},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012373800003660},
isbn={978-989-758-679-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Animating NeRFs from Texture Space: A Framework for Pose-Dependent Rendering of Human Performances
SN - 978-989-758-679-8
IS - 2184-4321
AU - Knoll, P.
AU - Morgenstern, W.
AU - Hilsmann, A.
AU - Eisert, P.
PY - 2024
SP - 404
EP - 413
DO - 10.5220/0012373800003660
PB - SciTePress

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