English

ContactGen: Generative Contact Modeling for Grasp Generation

Computer Vision and Pattern Recognition 2023-10-06 v1 Machine Learning Robotics

Abstract

This paper presents a novel object-centric contact representation ContactGen for hand-object interaction. The ContactGen comprises three components: a contact map indicates the contact location, a part map represents the contact hand part, and a direction map tells the contact direction within each part. Given an input object, we propose a conditional generative model to predict ContactGen and adopt model-based optimization to predict diverse and geometrically feasible grasps. Experimental results demonstrate our method can generate high-fidelity and diverse human grasps for various objects. Project page: https://stevenlsw.github.io/contactgen/

Cite

@article{arxiv.2310.03740,
  title  = {ContactGen: Generative Contact Modeling for Grasp Generation},
  author = {Shaowei Liu and Yang Zhou and Jimei Yang and Saurabh Gupta and Shenlong Wang},
  journal= {arXiv preprint arXiv:2310.03740},
  year   = {2023}
}

Comments

Accepted to ICCV 2023. Website: https://stevenlsw.github.io/contactgen/

R2 v1 2026-06-28T12:41:50.466Z