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Ming-Omni: A Unified Multimodal Model for Perception and Generation

Fuente: arXiv

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Bibliographic Details
Main Authors:	AI, Inclusion, Gong, Biao, Zou, Cheng, Zheng, Chuanyang, Zhou, Chunluan, Yan, Canxiang, Jin, Chunxiang, Shen, Chunjie, Zheng, Dandan, Wang, Fudong, Xu, Furong, Yao, GuangMing, Zhou, Jun, Chen, Jingdong, Sun, Jianxin, Liu, Jiajia, Zhu, Jianjiang, Peng, Jun, Ji, Kaixiang, Song, Kaiyou, Ren, Kaimeng, Wang, Libin, Ru, Lixiang, Xie, Lele, Tan, Longhua, Xue, Lyuxin, Wang, Lan, Bai, Mochen, Gao, Ning, Chen, Pei, Guo, Qingpei, Zhang, Qinglong, Xu, Qiang, Liu, Rui, Xiong, Ruijie, Gao, Sirui, Liu, Tinghao, Li, Taisong, Chai, Weilong, Xiao, Xinyu, Wang, Xiaomei, Chen, Xiaoxue, Lu, Xiao, Li, Xiaoyu, Dong, Xingning, Yu, Xuzheng, Yuan, Yi, Gao, Yuting, Sun, Yunxiao, Chen, Yipeng, Wu, Yifei, Lyu, Yongjie, Ma, Ziping, Feng, Zipeng, Fang, Zhijiang, Qiu, Zhihao, Huang, Ziyuan, He, Zhengyu
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Computer Vision and Pattern Recognition Machine Learning Sound Audio and Speech Processing
Online Access:	Acceder al recurso
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