Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods

Ciprian Paduraru, Petru-Liviu Bouruc, Alin Stefanescu, Alin Stefanescu

2025

Abstract

Accurate and expressive representation of human emotions in 3D models remains a major challenge in various industries, including gaming, film, healthcare, virtual reality and robotics. This work aims to address this challenge by utilizing a new dataset and a set of baseline methods within an open-source framework developed to improve realism and emotional expressiveness in human 3D representations. At the center of this work is the use of a novel and diverse dataset consisting of short video clips showing people mimicking specific emotions: anger, happiness, surprise, disgust, sadness, and fear. The dataset was further processed using state-of-the-art parametric body models that accurately reproduce these emotions. The resulting 3D meshes were then integrated into a generative pose generation model capable of producing similar emotions.

Paper Citation

in Harvard Style

Paduraru C., Bouruc P. and Stefanescu A. (2025). Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 646-653. DOI: 10.5220/0013168700003890

in Bibtex Style

@conference{icaart25,
author={Ciprian Paduraru and Petru-Liviu Bouruc and Alin Stefanescu},
title={Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={646-653},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013168700003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - Generative AI for Human 3D Body Emotions: A Dataset and Baseline Methods
SN - 978-989-758-737-5
AU - Paduraru C.
AU - Bouruc P.
AU - Stefanescu A.
PY - 2025
SP - 646
EP - 653
DO - 10.5220/0013168700003890
PB - SciTePress