Zobrazeno 1 - 10
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pro vyhledávání: '"Cao Xun"'
Autor:
Yuan Quan, Ge Qin, Chen Linsen, Zhang Yi, Yang Yuhang, Cao Xun, Wang Shuming, Zhu Shining, Wang Zhenlin
Publikováno v:
Nanophotonics, Vol 12, Iss 13, Pp 2295-2315 (2023)
Unlike traditional optical components, which rely on the gradual accumulation of light along the optical path over a distance much larger than the wavelength to form a wavefront, metasurfaces manipulate light field properties on the wavelength thickn
Externí odkaz:
https://doaj.org/article/29ac8544fed7466387571c22e1a30d4f
Autor:
Zhang, Jiawei, Wu, Zijian, Liang, Zhiyang, Gong, Yicheng, Hu, Dongfang, Yao, Yao, Cao, Xun, Zhu, Hao
Reconstructing high-fidelity, animatable 3D head avatars from effortlessly captured monocular videos is a pivotal yet formidable challenge. Although significant progress has been made in rendering performance and manipulation capabilities, notable ch
Externí odkaz:
http://arxiv.org/abs/2411.15604
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:
Zhuang, Yiyu, He, Yuxiao, Zhang, Jiawei, Wang, Yanwen, Zhu, Jiahe, Yao, Yao, Zhu, Siyu, Cao, Xun, Zhu, Hao
Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2D image data. Although these models are highly generalizable for human
Externí odkaz:
http://arxiv.org/abs/2410.01226
Autor:
He, Qianyun, Ji, Xinya, Gong, Yicheng, Lu, Yuanxun, Diao, Zhengyu, Huang, Linjia, Yao, Yao, Zhu, Siyu, Ma, Zhan, Xu, Songcen, Wu, Xiaofei, Zhang, Zixiao, Cao, Xun, Zhu, Hao
We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress in the field, prior methods still suffer from multi-view consistency a
Externí odkaz:
http://arxiv.org/abs/2408.00297
Autor:
He, Yuxiao, Zhuang, Yiyu, Wang, Yanwen, Yao, Yao, Zhu, Siyu, Li, Xiaoyu, Zhang, Qi, Cao, Xun, Zhu, Hao
Creating a 360{\deg} parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such parametric head models, their performance remains inadequate in
Externí odkaz:
http://arxiv.org/abs/2408.00296
This paper introduces {HINER}, a novel neural representation for compressing HSI and ensuring high-quality downstream tasks on compressed HSI. HINER fully exploits inter-spectral correlations by explicitly encoding of spectral wavelengths and achieve
Externí odkaz:
http://arxiv.org/abs/2407.21395
Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processing. However, current INR techniques suffer from the "frequency"-specifi
Externí odkaz:
http://arxiv.org/abs/2407.19434
The integration of miniaturized spectrometers into mobile devices offers new avenues for image quality enhancement and facilitates novel downstream tasks. However, the broader application of spectral sensors in mobile photography is hindered by the i
Externí odkaz:
http://arxiv.org/abs/2407.17996
Representing signals using coordinate networks dominates the area of inverse problems recently, and is widely applied in various scientific computing tasks. Still, there exists an issue of spectral bias in coordinate networks, limiting the capacity t
Externí odkaz:
http://arxiv.org/abs/2407.17834