Lune

CVPR2025顶会

MixerMDM: Learnable Composition of Human Motion Diffusion Models

Pablo Ruiz-Ponce, Germán Barquero, Cristina Palmero, Sergio Escalera, José García Rodríguez

2025年份
2顶会引用

摘要

Mixed Motion Two persons are in an intense boxing match while suddenly one person throws a kick De no isi ng St ep De no isi ng St ep Mixing Weight Mixing Weight Figure 1. We introduce MixerMDM, the first learnable model composition technique for combining pre-trained text-conditioned human motion diffusion models. MixerMDM has demonstrated a consistent ability to generate highly controllable human interactions by combining a model that generates individual motions from textual descriptions with a model that creates human-human interactions.

问问这篇 Paper

智能体会读完全文。

Lune 把这篇 Paper 索引到了最后一个公式,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

lune papers fulltext 0eea67c5-23ec-49fe-b4a2-7d3e353a50f3

引用它的顶会 Paper2

问问它们各自怎么用它

它引用的顶会 Paper30

相关 Paper

黄昏的海面,两侧是细线勾勒的悬崖