Zobrazeno 1 - 10
of 368
pro vyhledávání: '"LI Linze"'
Autor:
Yang, Shurong, Li, Huadong, Wu, Juhao, Jing, Minhao, Li, Linze, Ji, Renhe, Liang, Jiajun, Fan, Haoqiang, Wang, Jin
Diffusion models have demonstrated superior performance in the field of portrait animation. However, current approaches relied on either visual or audio modality to control character movements, failing to exploit the potential of mixed-modal control.
Externí odkaz:
http://arxiv.org/abs/2408.14975
Autor:
Zhao, Xiaole, Li, Linze, Xie, Chengxing, Zhang, Xiaoming, Jiang, Ting, Lin, Wenjie, Liu, Shuaicheng, Li, Tianrui
Transformer-based deep models for single image super-resolution (SISR) have greatly improved the performance of lightweight SISR tasks in recent years. However, they often suffer from heavy computational burden and slow inference due to the complex c
Externí odkaz:
http://arxiv.org/abs/2408.04158
Autor:
Xie, Chengxing, Zhang, Xiaoming, Li, Linze, Meng, Haiteng, Zhang, Tianlin, Li, Tianrui, Zhao, Xiaole
Efficient and lightweight single-image super-resolution (SISR) has achieved remarkable performance in recent years. One effective approach is the use of large kernel designs, which have been shown to improve the performance of SISR models while reduc
Externí odkaz:
http://arxiv.org/abs/2407.14340
Autor:
Li, Rongchang, Feng, Zhenhua, Xu, Tianyang, Li, Linze, Wu, Xiao-Jun, Awais, Muhammad, Atito, Sara, Kittler, Josef
Compositional actions consist of dynamic (verbs) and static (objects) concepts. Humans can easily recognize unseen compositions using the learned concepts. For machines, solving such a problem requires a model to recognize unseen actions composed of
Externí odkaz:
http://arxiv.org/abs/2407.06113
Autor:
Yang, Shurong, Li, Huadong, Wu, Juhao, Jing, Minhao, Li, Linze, Ji, Renhe, Liang, Jiajun, Fan, Haoqiang
Despite raw driving videos contain richer information on facial expressions than intermediate representations such as landmarks in the field of portrait animation, they are seldom the subject of research. This is due to two challenges inherent in por
Externí odkaz:
http://arxiv.org/abs/2405.20851
There is currently strong interest in improving visual object tracking by augmenting the RGB modality with the output of a visual event camera that is particularly informative about the scene motion. However, existing approaches perform event feature
Externí odkaz:
http://arxiv.org/abs/2405.05004
Autor:
Sun, Wei, Chen, Zhiyang, Li, Linze, Shen, Chen, Long, Jinbao, Zheng, Huamin, Yang, Luyu, Chen, Qiushi, Zhang, Zhouze, Shi, Baoqi, Li, Shichang, Gao, Lan, Luo, Yi-Han, Chen, Baile, Liu, Junqiu
Low-noise microwave oscillators are cornerstones for wireless communication, radar and clocks. Optical frequency combs have enabled photonic microwaves with unrivalled noise performance and bandwidth. Emerging interest is to generate microwaves using
Externí odkaz:
http://arxiv.org/abs/2403.02828
We present InP-based evanescently-coupled waveguide modified uni-traveling carrier photodiodes (MUTC-PDs) exhibiting a breakthrough in bandwidth. The optimization of carrier transport and optical coupling is achieved through a detailed discussion on
Externí odkaz:
http://arxiv.org/abs/2402.07491
Autor:
Li, Linze, Fan, Sunqi, Pu, Hengjun, Bing, Zhaodong, Tang, Yao, Ye, Tianzhu, Yang, Tong, Chen, Liangyu, Liang, Jiajun
Over recent years, diffusion models have facilitated significant advancements in video generation. Yet, the creation of face-related videos still confronts issues such as low facial fidelity, lack of frame consistency, limited editability and uncontr
Externí odkaz:
http://arxiv.org/abs/2312.03775
Self-distillation exploits non-uniform soft supervision from itself during training and improves performance without any runtime cost. However, the overhead during training is often overlooked, and yet reducing time and memory overhead during trainin
Externí odkaz:
http://arxiv.org/abs/2207.12980