Zobrazeno 1 - 10
of 143
pro vyhledávání: '"TAN Zhiyu"'
Publikováno v:
Nanophotonics, Vol 10, Iss 16, Pp 4141-4148 (2021)
To realize nonreciprocal transmission, it is necessary to break the time-reversal symmetry of the transmission system, but it is very challenging to keep the linear polarized (LP) input and output unchanged in the free space transmission system. Magn
Externí odkaz:
https://doaj.org/article/bed913c5cbd74d71b7eaa678b14a4135
Recent advancements in text-to-video (T2V) generative models have shown impressive capabilities. However, these models are still inadequate in aligning synthesized videos with human preferences (e.g., accurately reflecting text descriptions), which i
Externí odkaz:
http://arxiv.org/abs/2412.04814
Publikováno v:
He jishu, Vol 46, Iss 5, Pp 050401-050401 (2023)
BackgroundAerosol particle size of radon progeny is the key parameter of the radiation dose conversion coefficient in radon progeny. It is necessary to develop a measuring device for the aerosol particle size of radioactive aerosol to measure the aer
Externí odkaz:
https://doaj.org/article/2ba2a5c12e584f47b431df045e9ed626
Autor:
Gao, Ziyi, Chen, Kai, Wei, Zhipeng, Mou, Tingshu, Chen, Jingjing, Tan, Zhiyu, Li, Hao, Jiang, Yu-Gang
Recent diffusion-based unrestricted attacks generate imperceptible adversarial examples with high transferability compared to previous unrestricted attacks and restricted attacks. However, existing works on diffusion-based unrestricted attacks are mo
Externí odkaz:
http://arxiv.org/abs/2408.05479
The quality of video-text pairs fundamentally determines the upper bound of text-to-video models. Currently, the datasets used for training these models suffer from significant shortcomings, including low temporal consistency, poor-quality captions,
Externí odkaz:
http://arxiv.org/abs/2408.02629
The recent advancements in text-to-image generative models have been remarkable. Yet, the field suffers from a lack of evaluation metrics that accurately reflect the performance of these models, particularly lacking fine-grained metrics that can guid
Externí odkaz:
http://arxiv.org/abs/2406.16562
Autor:
Tan, Zhiyu, Yang, Mengping, Qin, Luozheng, Yang, Hao, Qian, Ye, Zhou, Qiang, Zhang, Cheng, Li, Hao
One critical prerequisite for faithful text-to-image generation is the accurate understanding of text inputs. Existing methods leverage the text encoder of the CLIP model to represent input prompts. However, the pre-trained CLIP model can merely enco
Externí odkaz:
http://arxiv.org/abs/2405.12914
Autor:
Wang, Junyan, Sun, Zhenhong, Tan, Zhiyu, Chen, Xuanbai, Chen, Weihua, Li, Hao, Zhang, Cheng, Song, Yang
Vanilla text-to-image diffusion models struggle with generating accurate human images, commonly resulting in imperfect anatomies such as unnatural postures or disproportionate limbs.Existing methods address this issue mostly by fine-tuning the model
Externí odkaz:
http://arxiv.org/abs/2403.05239
Autor:
Tan, Zhiyu
In this paper we develop a new decomposition framework to deal with Lagrange multipliers of the Karush-Kuhn-Tucker (KKT) system of constrained optimization problems and variational inequalities in Hilbert spaces. It is different from existing framewo
Externí odkaz:
http://arxiv.org/abs/2306.03261
Autor:
Gong, Wei, Tan, Zhiyu
In this paper we propose a new finite element method for solving elliptic optimal control problems with pointwise state constraints, including the distributed controls and the Dirichlet or Neumann boundary controls. The main idea is to use energy spa
Externí odkaz:
http://arxiv.org/abs/2306.03246