Generative Hand-Object Prior for Interaction Reconstruction and Grasp Synthesis
A denoising diffusion-based generative model that can jointly capture the 3D geometry of hands and objects during interactions, and leverage this learned prior to improve tasks like interaction reconstruction from videos and human grasp synthesis.
