In this demo we propose a coarse to fine reconstruction pipeline, which takes a single RGB image as input and outputs a detailed 3D model of the face. The pipeline is composed by two main blocks, the coarse reconstruction block, which is based on a 3D Morphable Model, and the refinement block, which instead grounds on a Generative Adversarial Network (GAN).

Coarse to Fine 3D Face Reconstruction from Single Image / Galteri, L.; Ferrari, C.; Lisanti, G.; Berretti, S.; Del Bimbo, A.. - ELETTRONICO. - (2019), pp. 1-1. ((Intervento presentato al convegno IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) tenutosi a Lille, France nel 14-18 May 2019 [10.1109/FG.2019.8756603].

Coarse to Fine 3D Face Reconstruction from Single Image

C. Ferrari;
2019

Abstract

In this demo we propose a coarse to fine reconstruction pipeline, which takes a single RGB image as input and outputs a detailed 3D model of the face. The pipeline is composed by two main blocks, the coarse reconstruction block, which is based on a 3D Morphable Model, and the refinement block, which instead grounds on a Generative Adversarial Network (GAN).
978-1-7281-0089-0
Coarse to Fine 3D Face Reconstruction from Single Image / Galteri, L.; Ferrari, C.; Lisanti, G.; Berretti, S.; Del Bimbo, A.. - ELETTRONICO. - (2019), pp. 1-1. ((Intervento presentato al convegno IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) tenutosi a Lille, France nel 14-18 May 2019 [10.1109/FG.2019.8756603].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/2900773
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