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Athanasios Papaioannou

3 accepted papers

2025

ImHead: A Large-scale Implicit Morphable Model for Localized Head Modeling

ICCV 2025poster

Over the last years, 3D morphable models (3DMMs) have emerged as a state-of-the-art methodology for modeling and generating expressive 3D avatars. However, given their reliance on a strict topology, along with their linear nature, they struggle to represent complex full-head shapes. Following the ad…

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2022

MimicME: A Large Scale Diverse 4D Database for Facial Expression Analysis

ECCV 2022poster

"Recently, Deep Neural Networks (DNNs) have been shown to outperform traditional methods in many disciplines such as computer vision, speech recognition and natural language processing. A prerequisite for the successful application of DNNs is the big number of data. Even though various facial datase…

2020

Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks

ECCV 2020poster

Generating realistic 3D faces is of high importance for computer graphics and computer vision applications. Generally, research on 3D face generation revolves around linear statistical models of the facial surface. Nevertheless, these models cannot represent faithfully either the facial texture or t…