AI RESEARCH
EFF-Grasp: Energy-Field Flow Matching for Physics-Aware Dexterous Grasp Generation
arXiv CS.CV
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ArXi:2603.16151v1 Announce Type: new Denoising generative models have recently become the dominant paradigm for dexterous grasp generation, owing to their ability to model complex grasp distributions from large-scale data. However, existing diffusion-based methods typically formulate generation as a stochastic differential equation (SDE), which often requires many sequential denoising steps and