Zobrazeno 1 - 10
of 753
pro vyhledávání: '"Li Guangyuan"'
Publikováno v:
Nanophotonics, Vol 13, Iss 9, Pp 1603-1609 (2024)
We experimentally demonstrate the tuning of accidental bound states in the continuum (A-BICs) in silicon nanodisk arrays. The A-BIC emerges of the destructive interference of multipoles, which are the dominating out-of-plane electric dipole and in-pl
Externí odkaz:
https://doaj.org/article/b70b62463a164beea0915c9fdd555dfb
Publikováno v:
Nanophotonics, Vol 11, Iss 21, Pp 4843-4853 (2022)
We propose and experimentally demonstrate a novel strategy to achieve dual-band symmetry-protected bound states in the continuum (BICs) in silicon metasurfaces. This strategy is based on the hybridization of Mie surface lattice resonances (SLRs) in p
Externí odkaz:
https://doaj.org/article/bcf83589084544f8bc3c4aefb24b757c
Plasmonic nanoantennas containing nano-gaps support "hotspots" for greatly enhanced light-matter interactions, but suffer from inherent high losses, a long-standing issue that hinders practical applications. Here we report a strategy to significantly
Externí odkaz:
http://arxiv.org/abs/2411.15029
Autor:
Rao, Chen, Li, Guangyuan, Lan, Zehua, Sun, Jiakai, Luan, Junsheng, Xing, Wei, Zhao, Lei, Lin, Huaizhong, Dong, Jianfeng, Zhang, Dalong
Current video deblurring methods have limitations in recovering high-frequency information since the regression losses are conservative with high-frequency details. Since Diffusion Models (DMs) have strong capabilities in generating high-frequency de
Externí odkaz:
http://arxiv.org/abs/2408.13459
Autor:
Zhang, Zhanjie, Sun, Jiakai, Li, Guangyuan, Zhao, Lei, Zhang, Quanwei, Lan, Zehua, Yin, Haolin, Xing, Wei, Lin, Huaizhong, Zuo, Zhiwen
Arbitrary style transfer holds widespread attention in research and boasts numerous practical applications. The existing methods, which either employ cross-attention to incorporate deep style attributes into content attributes or use adaptive normali
Externí odkaz:
http://arxiv.org/abs/2404.13584
Autor:
Zhang, Zhanjie, Zhang, Quanwei, Lin, Huaizhong, Xing, Wei, Mo, Juncheng, Huang, Shuaicheng, Xie, Jinheng, Li, Guangyuan, Luan, Junsheng, Zhao, Lei, Zhang, Dalong, Chen, Lixia
Artistic style transfer aims to transfer the learned artistic style onto an arbitrary content image, generating artistic stylized images. Existing generative adversarial network-based methods fail to generate highly realistic stylized images and alwa
Externí odkaz:
http://arxiv.org/abs/2404.11474
Recently, diffusion models (DM) have been applied in magnetic resonance imaging (MRI) super-resolution (SR) reconstruction, exhibiting impressive performance, especially with regard to detailed reconstruction. However, the current DM-based SR reconst
Externí odkaz:
http://arxiv.org/abs/2404.04785
Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from multi-view videos remains a challenging endeavor. Despite the remarkable advancements achieved by current neural rendering techniques, these methods generally require co
Externí odkaz:
http://arxiv.org/abs/2403.01444
Autor:
Zhang, Zhanjie, Zhang, Quanwei, Li, Guangyuan, Xing, Wei, Zhao, Lei, Sun, Jiakai, Lan, Zehua, Luan, Junsheng, Huang, Yiling, Lin, Huaizhong
Artistic style transfer aims to repaint the content image with the learned artistic style. Existing artistic style transfer methods can be divided into two categories: small model-based approaches and pre-trained large-scale model-based approaches. S
Externí odkaz:
http://arxiv.org/abs/2312.06135
Traditional inverse rendering techniques are based on textured meshes, which naturally adapts to modern graphics pipelines, but costly differentiable multi-bounce Monte Carlo (MC) ray tracing poses challenges for modeling global illumination. Recentl
Externí odkaz:
http://arxiv.org/abs/2305.16800