arXiv:2506.09068cs.CVcs.LG2025-06
构建3D双手与物体交互的生成先验，解决数据稀缺问题。
BG-HOP: A Bimanual Generative Hand-Object Prior
- 基于单手生成模型扩展，构建双手交互生成先验
- 能生成合理双手抓握动作并合成指定物体的抓握姿态
- 适合研究人机交互、虚拟现实和机器人抓取的开发者
本文提出BG-HOP，一种用于建模3D双手与物体交互的生成先验。针对双手交互数据有限的问题，通过扩展现有的单手生成先验实现。实验表明该模型能够生成合理的双手交互动作，并为给定物体合成有效抓握姿态。代码与模型已公开。
原文摘要 · Abstract (English)
In this work, we present BG-HOP, a generative prior that seeks to model bimanual hand-object interactions in 3D. We address the challenge of limited bimanual interaction data by extending existing single-hand generative priors, demonstrating preliminary results in capturing the joint distribution of hands and objects. Our experiments showcase the model's capability to generate bimanual interactions and synthesize grasps for given objects. We make code and models publicly available.
生成模型双手交互3D建模
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