Jinhua Song

ArtFormer: Controllable Generation of Diverse 3D Articulated Objects

This paper presents a novel framework for modeling and conditional generation of 3D articulated objects. Troubled by flexibility-quality tradeoffs, existing methods are often limited to using predefined structures or retrieving shapes from static datasets. To address these challenges, we parameteriz…