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Feng-Bo Lan

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#artificial intelligence Preprint Sep 2026

KaiNinja: Extending Native 3D Generators to the Part Level

Native 3D generators turn one image into a single mesh. TRELLIS.2 and its peers deliver high-fidelity non-watertight geometry with materials, but the output is one fused object, while downstream work such as editing, rigging and simulation operates on part-level assets. A naive idea is to run a 3D segmentation network...

Rui-Han Yu, Lian Fu, Mu-Yao Niu et al. · 0 citations
Preprint Sep 2026

WorldSculpt: Generating Compositional Worlds from Grounded Videos

We study the problem of generating a compositional 3D representation of a cluttered scene containing hundreds of objects. The goal is to represent the scene as a collection of individual object meshes placed in a shared world frame, as required by downstream applications such as gaming, AR/VR, simulation, and robotics....

Mu-Yao Niu, Ji-Xuan He, Rui-Han Yu et al. · 0 citations

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