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We present an automatic animatable 3D character reconstruction method from frontal and lateral RGB pictures of the person to reconstruct. We propose a method where, after obtaining a 3D reconstruction from a frontal view, we adapt the template of the Skinned Multi-Person Linear Model (SMPL) to it. This frontal modified SMPL is then used in a second step as an input to reconstruct the character from the lateral view, thus obtaining a correct person reconstruction in all dimensions. Our method enables the recreation of 3D animatable characters focusing on two main aspects: shape and texture. The obtained results show that the proposed method achieves an accurate automatic 3D character reconstruction from only two views that enhances current methods while offering a reproducible work-flow.
3D reconstruction from in the wild pictures,, Computer animation, Image reconstruction, Three-dimensional imaging, 3D character reconstruction, Animatable 3D reconstruction, 3D reconstruction from in the wild pictures, Animació per ordinador, Àrees temàtiques de la UPC::Informàtica::Infografia, Imatgeria tridimensional
3D reconstruction from in the wild pictures,, Computer animation, Image reconstruction, Three-dimensional imaging, 3D character reconstruction, Animatable 3D reconstruction, 3D reconstruction from in the wild pictures, Animació per ordinador, Àrees temàtiques de la UPC::Informàtica::Infografia, Imatgeria tridimensional
| citations The total number of citations received by all articles of the researcher of interest. | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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