构建了包含188个3D人脸网格的多样化数据集，支持高精度人脸重建研究。
3D2M Dataset: A 3-Dimension diverse Mesh Dataset
- 收集188个3D人脸网格，涵盖73名女性和114名男性
- 覆盖45种不同族裔，体现显著面部结构多样性
- 附带精确关键点标注，适用于人脸重定向与实时建模
三维（3D）重建已成为学术界和产业界广泛关注的研究领域。在众多应用中，人脸重建面临最严峻的挑战之一，且每个人的面部结构独特，要求算法具备足够鲁棒性以应对这种变异性，同时保持原始特征的保真度。本文提出一个全面的3D网格数据集，包含多样化的面部结构及其对应的关键点标注。该数据集共包含188个3D人脸网格，其中女性73个，男性114个，涵盖45种不同族裔，充分体现了面部特征的丰富多样性。每个3D网格均配有准确标注的关键点，有助于精细分析与操作。该数据集对人脸重定向、面部结构成分研究及视频流中实时人物表示等应用具有重要价值。通过提供可靠资源，旨在推动3D人脸重建及相关技术的发展。
原文摘要 · Abstract (English)
Three-dimensional (3D) reconstruction has emerged as a prominent area of research, attracting significant attention from academia and industry alike. Among the various applications of 3D reconstruction, facial reconstruction poses some of the most formidable challenges. Additionally, each individuals facial structure is unique, requiring algorithms to be robust enough to handle this variability while maintaining fidelity to the original features. This article presents a comprehensive dataset of 3D meshes featuring a diverse range of facial structures and corresponding facial landmarks. The dataset comprises 188 3D facial meshes, including 73 from female candidates and 114 from male candidates. It encompasses a broad representation of ethnic backgrounds, with contributions from 45 different ethnicities, ensuring a rich diversity in facial characteristics. Each facial mesh is accompanied by key points that accurately annotate the relevant features, facilitating precise analysis and manipulation. This dataset is particularly valuable for applications such as facial re targeting, the study of facial structure components, and real-time person representation in video streams. By providing a robust resource for researchers and developers, it aims to advance the field of 3D facial reconstruction and related technologies.
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