为了使得视觉与学习领域相关从业者快速及时地了解领域的最新发展动态和前沿技术进展,VALSE最新推出了《论文速览》栏目,将在每周发布一至两篇顶会顶刊论文的录制视频,对单个前沿工作进行细致讲解。本期VALSE论文速览选取了来自上海科技大学的人体动作捕捉 (Human Motion Capture)的工作。该工作由马月昕教授指导,论文一作任奕名同学录制。 论文题目: LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment 作者列表: 任奕名 (上海科技大学)、韩笑 (上海科技大学)、姚奕忱 (上海科技大学)、龙霄潇 (香港大学)、孙毓婧 (香港大学)、马月昕 (上海科技大学) B站观看网址: 论文摘要: LiDAR-based human motion capture has garnered significant interest in recent years for its practicability in large-scale and unconstrained environments. However, most methods rely on cleanly segmented human point clouds as input, the accuracy and smoothness of their motion results are compromised when faced with noisy data, rendering them unsuitable for practical applications. To address these limitations and enhance the robustness and precision of motion capture with noise interference, we introduce LiveHPS++, an innovative and effective solution based on a single LiDAR system. Benefiting from three meticulously designed modules, our method can learn dynamic and kinematic features from human movements and further enable the precise capture of coherent human motions in open settings, making it highly applicable to real-world scenarios. Through extensive experiments, LiveHPS++ has proven to significantly surpass existing state-of-the-art methods across various datasets, establishing a new benchmark in the field. 参考文献: [1] Ren, Y., Han, X., Yao, Y., Long, X., Sun, Y., & Ma, Y. LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment. ECCV 2024. 论文链接: https://link.springer.com/chapter/10.1007/978-3-031-73397-0_8 代码链接: https://github.com/4DVLab/LiveHPS2 视频讲者简介: Yiming Ren received the BEng degree in ShanghaiTech university, China, in 2022. He is now studying for PhD degree in Shanghaitech University under the supervision of Prof. Yuexin Ma. His research interests lie on the computer vision and deep learning. Particularly he is interested in 3D perception and motion capture. He has published top-tier journal and conference papers in computer vision and robotics, including CVPR, ECCV, AAAI, TVCG, ACMMM, ICRA, etc.
个人主页: https://ren-ym.github.io/ 特别鸣谢本次论文速览主要组织者: 月度轮值AC:王一帆 (大连理工大学) |
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