Author

Liyuan Zhu

Stanford University

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#artificial intelligence Preprint Sep 2026

FAMOS: Feed-Forward 3D Articulation Modeling from Sparse Observations

FAMOS, a feed-forward model that predicts movable-part segmentation and joint parameters from a sparse, unordered set of partial point clouds, is presented and a procedural data generator that synthesizes self-annotated assets during training is introduced to overcome the limited scale and diversity of existing dataset...

Kevin Qu, Tao Sun, Massimiliano Viola et al. · 0 citations

Preprint Jul 2026

World from Motion: Generative Dynamic Gaussian Reconstruction from Monocular Video

The method sets a new state of the art in 4D reconstruction and seamlessly generalizes to in-the-wild videos with large viewpoint changes and dynamic motions, improving both novel-view synthesis and the underlying 3D motion.

Liyuan Zhu, Shengyu Huang, Amrita Mazumdar et al. · 0 citations