PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data

PartSAM is a new model for open-world 3D part segmentation trained on native 3D data, offering accurate and comprehensive part identification without relying on indirect supervision from 2D models. This advancement significantly enhances content creators' ability to work with complex 3D objects by providing detailed structural understanding and automatic decomposition capabilities.

Read the full article at arXiv cs.CV (Vision)

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