首个高质量双人肖像数据集，支持个性化定制生成。
PairHuman: A High-Fidelity Photographic Dataset for Customized Dual-Person Generation
- 构建10万+张双人肖像图像数据集，含丰富元信息。
- 提出DHumanDiff模型，提升人脸一致性与场景语义控制。
- 适合婚纱摄影、情感记忆保存等个性化生成应用。
个性化双人肖像定制具有广泛的应用潜力，如保存情感记忆和辅助婚纱摄影规划。然而，缺乏基准数据集限制了高质量双人肖像生成的发展。本文提出PairHuman数据集，这是首个专为满足高摄影标准的双人肖像生成设计的大规模基准数据集。该数据集包含超过10万张图像，涵盖多样场景、服饰及双人互动，并配有详细元数据，包括图像描述、人物定位、人体关键点和属性标签。我们还提出了DHumanDiff，一个专为双人肖像生成设计的基线模型，具备增强的人脸一致性，并在个性化人物生成与语义驱动场景创建之间取得良好平衡。实验结果表明，我们的数据集与方法可生成高度定制化且视觉质量优越的肖像，符合人类偏好。数据集已公开于https://github.com/annaoooo/PairHuman。
原文摘要 · Abstract (English)
Personalized dual-person portrait customization has considerable potential applications, such as preserving emotional memories and facilitating wedding photography planning. However, the absence of a benchmark dataset hinders the pursuit of high-quality customization in dual-person portrait generation. In this paper, we propose the PairHuman dataset, which is the first large-scale benchmark dataset specifically designed for generating dual-person portraits that meet high photographic standards. The PairHuman dataset contains more than 100K images that capture a variety of scenes, attire, and dual-person interactions, along with rich metadata, including detailed image descriptions, person localization, human keypoints, and attribute tags. We also introduce DHumanDiff, which is a baseline specifically crafted for dual-person portrait generation that features enhanced facial consistency and simultaneously balances in personalized person generation and semantic-driven scene creation. Finally, the experimental results demonstrate that our dataset and method produce highly customized portraits with superior visual quality that are tailored to human preferences. Our dataset is publicly available at https://github.com/annaoooo/PairHuman.
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