Quantifying collective fish behavior requires accurate trajectories, yet multi-view 3D tracking remains challenging due to frequent occlusions, visually similar individuals, and the long-standing scarcity of identity annotations. We present TrackFish3D, a geometry-driven self-supervised framework for dense multi-camera...
P. Phurtivilai, Zhiyang Dou, Yi-Fan Wu et al.· 0 citations
Generating high-quality and controllable camera motion is essential for AI-assisted cinematography, video synthesis, and 3D scene understanding. We introduce TKCAM, a Text- and Keyframe-conditioned CAMera-motion synthesis framework based on generative masked modeling. We represent camera dynamics using a 12-dimensional...
Hao-Zhe Yang, Zhiyang Dou, Ze-Kai Gu et al.· 0 citations
Part segmentation is a fundamental problem in computer graphics and 3D vision. Recent works have expanded 3D part segmentation beyond fixed taxonomies, but existing approaches typically only address a specific setting, such as text-guided part segmentation or point-based interaction. In this work, we argue that these s...
Zhe Zhu, Yi-Heng Zhang, Peng Li et al.· 1 citation
STAM is introduced, a dataset of motion sequences paired with spatial audio and detailed textual annotations whose rich vocabulary affords precise and nuanced specification of human motions, and MoSAT, a latent flow-matching framework for full-body motion generation jointly conditioned on natural-language intent and di...
Shu-Yang Xu, Zhiyang Dou, Yiduo Hao et al.· 0 citations
This work proposes Ms.Forcing, an efficient streaming video generation paradigm that adapts spatial granularity to each state's noise level and introduces Homogeneous-Noise-Level DMD, which assembles each fake video from clean predictions sharing the same source noise level, thereby reducing the mismatch between DMD tr...
Zekun Li, Xiaoyan Cong, Hongyu Li et al.· arXiv.org· 0 citations
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