Abstract
We introduce PoreTrack3D, the first benchmark for dynamic 3D Gaussian splatting in pore-scale, non-rigid 3D facial trajectory tracking. It contains over 440,000 facial trajectories in total, among which more than 52,000 are longer than 10 frames, including 68 manually reviewed trajectories that span the entire 150 frames. To the best of our knowledge, PoreTrack3D is the first benchmark dataset to capture both traditional facial landmarks and pore-scale keypoints trajectory, advancing the study of fine-grained facial expressions through the analysis of subtle skin-surface motion. We systematically evaluate state-of-the-art dynamic 3D Gaussian splatting methods on PoreTrack3D, establishing the first performance baseline in this domain. Overall, the pipeline developed for this benchmark dataset's creation establishes a new framework for high-fidelity facial motion capture and dynamic 3D reconstruction. Our dataset are publicly available at: this https URL
Abstract (translated)
我们介绍了PoreTrack3D，这是首个针对孔隙尺度非刚性三维面部轨迹跟踪中的动态三维高斯点云的基准测试。该数据集总共包含超过440,000条面部轨迹，其中超过52,000条轨迹长度超过了10帧，并且有68条手动审查过的跨越整个150帧的完整轨迹。据我们所知，PoreTrack3D是首个能够捕捉传统面部标志点和孔隙尺度关键点轨迹的数据集，通过分析细微的皮肤表面运动来推进细粒度面部表情的研究。我们在PoreTrack3D上系统性地评估了当前最先进的动态三维高斯点云方法，并建立了该领域的首个性能基准线。总体而言，为创建这一基准测试数据集而开发的工作流程确立了一个用于高保真面部动作捕捉和动态三维重建的新框架。我们的数据集可公开获取：[此处插入具体链接]
URL
https://arxiv.org/abs/2512.02648
