Zobrazeno 1 - 10
of 3 185
pro vyhledávání: '"Liu, YuHong"'
Autor:
Kong, Weijie, Tian, Qi, Zhang, Zijian, Min, Rox, Dai, Zuozhuo, Zhou, Jin, Xiong, Jiangfeng, Li, Xin, Wu, Bo, Zhang, Jianwei, Wu, Kathrina, Lin, Qin, Yuan, Junkun, Long, Yanxin, Wang, Aladdin, Wang, Andong, Li, Changlin, Huang, Duojun, Yang, Fang, Tan, Hao, Wang, Hongmei, Song, Jacob, Bai, Jiawang, Wu, Jianbing, Xue, Jinbao, Wang, Joey, Wang, Kai, Liu, Mengyang, Li, Pengyu, Li, Shuai, Wang, Weiyan, Yu, Wenqing, Deng, Xinchi, Li, Yang, Chen, Yi, Cui, Yutao, Peng, Yuanbo, Yu, Zhentao, He, Zhiyu, Xu, Zhiyong, Zhou, Zixiang, Xu, Zunnan, Tao, Yangyu, Lu, Qinglin, Liu, Songtao, Zhou, Daquan, Wang, Hongfa, Yang, Yong, Wang, Di, Liu, Yuhong, Jiang, Jie, Zhong, Caesar
Recent advancements in video generation have significantly impacted daily life for both individuals and industries. However, the leading video generation models remain closed-source, resulting in a notable performance gap between industry capabilitie
Externí odkaz:
http://arxiv.org/abs/2412.03603
Autor:
Weng, Haohan, Zhao, Zibo, Lei, Biwen, Yang, Xianghui, Liu, Jian, Lai, Zeqiang, Chen, Zhuo, Liu, Yuhong, Jiang, Jie, Guo, Chunchao, Zhang, Tong, Gao, Shenghua, Chen, C. L. Philip
We propose a compressive yet effective mesh representation, Blocked and Patchified Tokenization (BPT), facilitating the generation of meshes exceeding 8k faces. BPT compresses mesh sequences by employing block-wise indexing and patch aggregation, red
Externí odkaz:
http://arxiv.org/abs/2411.07025
Autor:
Yang, Xianghui, Shi, Huiwen, Zhang, Bowen, Yang, Fan, Wang, Jiacheng, Zhao, Hongxu, Liu, Xinhai, Wang, Xinzhou, Lin, Qingxiang, Yu, Jiaao, Wang, Lifu, Chen, Zhuo, Liu, Sicong, Liu, Yuhong, Yang, Yong, Wang, Di, Jiang, Jie, Guo, Chunchao
While 3D generative models have greatly improved artists' workflows, the existing diffusion models for 3D generation suffer from slow generation and poor generalization. To address this issue, we propose a two-stage approach named Hunyuan3D-1.0 inclu
Externí odkaz:
http://arxiv.org/abs/2411.02293
Autor:
Sun, Xingwu, Chen, Yanfeng, Huang, Yiqing, Xie, Ruobing, Zhu, Jiaqi, Zhang, Kai, Li, Shuaipeng, Yang, Zhen, Han, Jonny, Shu, Xiaobo, Bu, Jiahao, Chen, Zhongzhi, Huang, Xuemeng, Lian, Fengzong, Yang, Saiyong, Yan, Jianfeng, Zeng, Yuyuan, Ren, Xiaoqin, Yu, Chao, Wu, Lulu, Mao, Yue, Xia, Jun, Yang, Tao, Zheng, Suncong, Wu, Kan, Jiao, Dian, Xue, Jinbao, Zhang, Xipeng, Wu, Decheng, Liu, Kai, Wu, Dengpeng, Xu, Guanghui, Chen, Shaohua, Chen, Shuang, Feng, Xiao, Hong, Yigeng, Zheng, Junqiang, Xu, Chengcheng, Li, Zongwei, Kuang, Xiong, Hu, Jianglu, Chen, Yiqi, Deng, Yuchi, Li, Guiyang, Liu, Ao, Zhang, Chenchen, Hu, Shihui, Zhao, Zilong, Wu, Zifan, Ding, Yao, Wang, Weichao, Liu, Han, Wang, Roberts, Fei, Hao, Yu, Peijie, Zhao, Ze, Cao, Xun, Wang, Hai, Xiang, Fusheng, Huang, Mengyuan, Xiong, Zhiyuan, Hu, Bin, Hou, Xuebin, Jiang, Lei, Ma, Jianqiang, Wu, Jiajia, Deng, Yaping, Shen, Yi, Wang, Qian, Liu, Weijie, Liu, Jie, Chen, Meng, Dong, Liang, Jia, Weiwen, Chen, Hu, Liu, Feifei, Yuan, Rui, Xu, Huilin, Yan, Zhenxiang, Cao, Tengfei, Hu, Zhichao, Feng, Xinhua, Du, Dong, Yu, Tinghao, Tao, Yangyu, Zhang, Feng, Zhu, Jianchen, Xu, Chengzhong, Li, Xirui, Zha, Chong, Ouyang, Wen, Xia, Yinben, Li, Xiang, He, Zekun, Chen, Rongpeng, Song, Jiawei, Chen, Ruibin, Jiang, Fan, Zhao, Chongqing, Wang, Bo, Gong, Hao, Gan, Rong, Hu, Winston, Kang, Zhanhui, Yang, Yong, Liu, Yuhong, Wang, Di, Jiang, Jie
In this paper, we introduce Hunyuan-Large, which is currently the largest open-source Transformer-based mixture of experts model, with a total of 389 billion parameters and 52 billion activation parameters, capable of handling up to 256K tokens. We c
Externí odkaz:
http://arxiv.org/abs/2411.02265
Autor:
Lin, Fan, Xie, Shuyi, Dai, Yong, Yao, Wenlin, Lang, Tianjiao, Xu, Zishan, Hu, Zhichao, Xiao, Xiao, Liu, Yuhong, Zhang, Yu
As Large Language Models (LLMs) grow increasingly adept at managing complex tasks, the evaluation set must keep pace with these advancements to ensure it remains sufficiently discriminative. Item Discrimination (ID) theory, which is widely used in ed
Externí odkaz:
http://arxiv.org/abs/2409.18892
Identifying IoT devices is crucial for network monitoring, security enforcement, and inventory tracking. However, most existing identification methods rely on deep packet inspection, which raises privacy concerns and adds computational complexity. Mo
Externí odkaz:
http://arxiv.org/abs/2405.17442
Autor:
Li, Zhimin, Zhang, Jianwei, Lin, Qin, Xiong, Jiangfeng, Long, Yanxin, Deng, Xinchi, Zhang, Yingfang, Liu, Xingchao, Huang, Minbin, Xiao, Zedong, Chen, Dayou, He, Jiajun, Li, Jiahao, Li, Wenyue, Zhang, Chen, Quan, Rongwei, Lu, Jianxiang, Huang, Jiabin, Yuan, Xiaoyan, Zheng, Xiaoxiao, Li, Yixuan, Zhang, Jihong, Zhang, Chao, Chen, Meng, Liu, Jie, Fang, Zheng, Wang, Weiyan, Xue, Jinbao, Tao, Yangyu, Zhu, Jianchen, Liu, Kai, Lin, Sihuan, Sun, Yifu, Li, Yun, Wang, Dongdong, Chen, Mingtao, Hu, Zhichao, Xiao, Xiao, Chen, Yan, Liu, Yuhong, Liu, Wei, Wang, Di, Yang, Yong, Jiang, Jie, Lu, Qinglin
We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transformer structure, text encoder, and positional encoding. We also build f
Externí odkaz:
http://arxiv.org/abs/2405.08748
The emerging Self-Sovereign Identity (SSI) techniques, such as Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), move control of digital identity from conventional identity providers to individuals and lay down the foundation for peo
Externí odkaz:
http://arxiv.org/abs/2405.02476
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models
The rapid advancements in generative AI and large language models (LLMs) have opened up new avenues for producing synthetic data, particularly in the realm of structured tabular formats, such as product reviews. Despite the potential benefits, concer
Externí odkaz:
http://arxiv.org/abs/2404.14445
Privacy-Preserving Neural Networks (PPNN) are advanced to perform inference without breaching user privacy, which can serve as an essential tool for medical diagnosis to simultaneously achieve big data utility and privacy protection. As one of the ke
Externí odkaz:
http://arxiv.org/abs/2403.10920