ArtFormer generates diverse 3D articulated objects from text or images using a transformer over tree-structured part tokens with a diffusion SDF shape prior, reporting quality and diversity gains over modified NAP and CAGE baselines.
Diffusion-SDF: Conditional generative modeling of signed distance func- tions
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ArtFormer: Controllable Generation of Diverse 3D Articulated Objects
ArtFormer generates diverse 3D articulated objects from text or images using a transformer over tree-structured part tokens with a diffusion SDF shape prior, reporting quality and diversity gains over modified NAP and CAGE baselines.