arXivDaily arXiv每日学术速递 周一至周五更新

视觉与机器人

多模态信息融合

面向图像、视频、多传感器和跨模态感知的信息融合,包括 Image Fusion、红外可见光、遥感、医学影像、LiDAR/雷达/相机和音视频融合。

2026-06-02 至 2026-06-02 共收录 1 信号源:cs.CV, eess.IV, eess.SP, cs.RO, cs.MM

1. 通用Image Fusion 1 篇

2604.02941 2026-06-02 cs.CV 57%

MMTalker: Multiresolution 3D Talking Head Synthesis with Multimodal Feature Fusion

MMTalker: 多分辨率3D说话头合成与多模态特征融合

Bin Liu, Zhixiang Xiong, Zhifen He, Bo Li

机构 * IEEE Publication Technology Group(IEEE出版技术组) Piscataway, NJ(新泽西州皮萨卡威)

专题命中 通用Image Fusion :multimodal fusion(abstract);分类 cs.CV

AI总结 提出一种基于多分辨率表示和多模态特征融合的3D语音驱动面部动画合成方法MMTalker,通过网格参数化、非均匀可微采样、残差图卷积网络和双交叉注意力机制,实现高唇同步精度和逼真面部表情。

Comments This article presents only the preliminary research results, which are not yet complete and lack necessary supplementary experiments. The author has decided to withdraw it to improve the research work, and will submit a more complete version in the future

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