AI RESEARCH
4DEquine: Disentangling Motion and Appearance for 4D Equine Reconstruction from Monocular Video
arXiv CS.CV
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ArXi:2603.10125v1 Announce Type: new 4D reconstruction of equine family (e.g. horses) from monocular video is important for animal welfare. Previous mainstream 4D animal reconstruction methods require joint optimization of motion and appearance over a whole video, which is time-consuming and sensitive to incomplete observation. In this work, we propose a novel framework called 4DEquine by disentangling the 4D reconstruction problem into two sub-problems: dynamic motion reconstruction and static appearance reconstruction. For motion, we.