The existing mesh segmentation methods currently require long training times and have high computational complexity. Consequently, many of these methods cannot meet the rapid requirements of digital ...

Our method uniquely uses diffusion models for visual-semantic data generation in unseen classes, bypassing pre-trained backbones. It directly produces segmentation masks with a basic semantic ...