J. Garcia, "Few-Shot High-Fidelity 3D Reconstruction of Human Bodies", Proc. of 3DBODY.TECH 2021 - 12th Int. Conf. and Exh. on 3D Body Scanning and Processing Technologies, Lugano, Switzerland, 19-20 Oct. 2021, #63.

Title:

Few-Shot High-Fidelity 3D Reconstruction of Human Bodies

Authors:

Jaime GARCIA

Crisalix SA, Lausanne, Switzerland

Abstract:

We provide a fully automated solution for the 3D reconstruction of human heads, including hair and shoulders, from a sparse collection of photos (as few as 3). Our approach yields anatomically accurate reconstructions, improving over commonly used methods based on 3D morphable models, while retaining a comparable robustness. The key technology enabling our method is a deep learning system that combines a 3D prior (shape space) pretrained from over 10K real scans, with a state-of-the art 3D reconstruction architecture based on differentiable rendering. This technology offers a promising avenue to model and reconstruct full bodies in 3D with unprecedented accuracy and flexibility, being able to capture complex shapes, e.g garments, clothing, or diverse bodies.

Details:

Abstract: 2163garcia-abs.pdf
Proceedings: 3DBODY.TECH 2021, 19-20 Oct. 2021, Lugano, Switzerland
Paper id#: 63
Presentation video: 3DBodyTech2021_63_Garcia.mp4

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