MaskDexGrasp: Generative Masked Modeling for Part-Aware Dexterous Grasp Synthesis

part-level editing. To facilitate evaluation, we construct a dexterous grasp dataset that comprises 65K grasping instances and 260K richly annotated descriptions covering 11 tasks. Comprehensive experiments demonstrate that our method achieves the state-of-the-art performance. Project page is available at https://binghui-z.github. io/MaskDexGrasp/.