Lune

CVPR2025顶会

ManipTrans: Efficient Dexterous Bimanual Manipulation Transfer via Residual Learning

Kailin Li, Puhao Li, Tengyu Liu, Yuyang Li, Siyuan Huang

2025年份
15顶会引用

摘要

https://maniptrans.github.io ⊕ Figure 1. MANIPTRANS for Bimanual Dexterous Manipulations. Retargeting methods often struggle with transferring MoCap data to physically plausible motions, while our MANIPTRANS efficiently produces task-compliant, physically accurate motions. It also generalizes across embodiments like Inspire hands [3], Shadow hands [1], and articulated MANO hands [27, 96].

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。

可以从这些问题问起

智能体调用

Luneget_paper_fulltext

在 Lune 里问

免费开始,无需绑卡

引用它的顶会 Paper15

问问它们各自怎么用它

它引用的顶会 Paper40

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖