Zobrazeno 1 - 10
of 779
pro vyhledávání: '"Zeng, Xiaohui"'
Autor:
Ding, Yifan, Hu, Chenyazhi, Li, Wenhui, Chen, Lan, He, Jiadian, Zhang, Yiwen, Zeng, Xiaohui, Wang, Yanjiang, Dong, Peng, Wang, Jinghui, Zhou, Xiang, Wu, Yueshen, Chen, Yulin, Li, Jun
The demand for low-power devices is on the rise as semiconductor engineering approaches the quantum limit and quantum computing continues to advance. Two-dimensional (2D) superconductors, thanks to their rich physical properties, hold significant pro
Externí odkaz:
http://arxiv.org/abs/2409.17586
Autor:
He, Jiadian, Ding, Yifan, Zeng, Xiaohui, Zhang, Yiwen, Wang, Yanjiang, Dong, Peng, Zhou, Xiang, Wu, Yueshen, Cao, Kecheng, Ran, Kejing, Wang, Jinghui, Chen, Yulin, Watanabe, Kenji, Taniguchi, Takashi, Yu, Shun-Li, Li, Jian-Xin, Wen, Jinsheng, Li, Jun
Nonreciprocal superconductivity, also called as superconducting diode effect that spontaneously breaks time-reversal symmetry, is characterized by asymmetric critical currents under opposite applied current directions. This distinct state unveils a r
Externí odkaz:
http://arxiv.org/abs/2409.04093
Significant advancements have been made in video generative models recently. Unlike image generation, video generation presents greater challenges, requiring not only generating high-quality frames but also ensuring temporal consistency across these
Externí odkaz:
http://arxiv.org/abs/2407.16124
Autor:
Ren, Jiawei, Xie, Kevin, Mirzaei, Ashkan, Liang, Hanxue, Zeng, Xiaohui, Kreis, Karsten, Liu, Ziwei, Torralba, Antonio, Fidler, Sanja, Kim, Seung Wook, Ling, Huan
We present L4GM, the first 4D Large Reconstruction Model that produces animated objects from a single-view video input -- in a single feed-forward pass that takes only a second. Key to our success is a novel dataset of multiview videos containing cur
Externí odkaz:
http://arxiv.org/abs/2406.10324
Existing automatic captioning methods for visual content face challenges such as lack of detail, content hallucination, and poor instruction following. In this work, we propose VisualFactChecker (VFC), a flexible training-free pipeline that generates
Externí odkaz:
http://arxiv.org/abs/2404.19752
Autor:
Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major
Externí odkaz:
http://arxiv.org/abs/2404.16687
Autor:
Xie, Kevin, Lorraine, Jonathan, Cao, Tianshi, Gao, Jun, Lucas, James, Torralba, Antonio, Fidler, Sanja, Zeng, Xiaohui
Recent text-to-3D generation approaches produce impressive 3D results but require time-consuming optimization that can take up to an hour per prompt. Amortized methods like ATT3D optimize multiple prompts simultaneously to improve efficiency, enablin
Externí odkaz:
http://arxiv.org/abs/2403.15385
Autor:
Dong, Peng, Wang, Lijie, Zhang, Guanqun, He, Jiadian, Zhang, Yiwen, Ding, Yifan, Zeng, Xiaohui, Wang, Jinghui, Zhou, Xiang, Wu, Yueshen, Li, Wei, Li, Jun
Nonreciprocal charge transport in heterostructural superconductors exhibits appealing quantum physical phenomena and holds the promising potential for superconducting circuits applications. Realizing a nonreciprocity is, however, fundamentally and te
Externí odkaz:
http://arxiv.org/abs/2401.13072
We present XCube (abbreviated as $\mathcal{X}^3$), a novel generative model for high-resolution sparse 3D voxel grids with arbitrary attributes. Our model can generate millions of voxels with a finest effective resolution of up to $1024^3$ in a feed-
Externí odkaz:
http://arxiv.org/abs/2312.03806
Autor:
Dong, Peng, Zhou, Xiang, Hou, Xiaofei, He, Jiadian, Zhang, Yiwen, Ding, Yifan, Zeng, Xiaohui, Wang, Jinghui, Wu, Yueshen, Watanabe, Kenji, Taniguchi, Takashi, Xia, Wei, Guo, Yanfeng, Chen, Yulin, Li, Wei, Li, Jun
Nontrivial topological superconductivity has received enormous research attentions due to its potential for diverse applications in topological quantum computing. The intrinsic issue concerning the correlation between a topological insulator and a su
Externí odkaz:
http://arxiv.org/abs/2310.20576