Zobrazeno 1 - 10
of 8 607
pro vyhledávání: '"wang,pan"'
Autor:
Zhang, Ruichen, Yao, Yuguang, Tan, Zhen, Li, Zhiming, Wang, Pan, Liu, Huan, Hu, Jingtong, Liu, Sijia, Chen, Tianlong
Image generation is a prevailing technique for clinical data augmentation for advancing diagnostic accuracy and reducing healthcare disparities. Diffusion Model (DM) has become a leading method in generating synthetic medical images, but it suffers f
Externí odkaz:
http://arxiv.org/abs/2410.22551
We establish a high-resolution, high-performance, and high-confidence compressible multiphysics system in a Cartesian grid with irregular boundary topologies to simulate intensive blast waves propagating in large-scale and extremely complex environme
Externí odkaz:
http://arxiv.org/abs/2411.02407
Autor:
Nazarczuk, Michal, Catley-Chandar, Sibi, Tanay, Thomas, Shaw, Richard, Pérez-Pellitero, Eduardo, Timofte, Radu, Yan, Xing, Wang, Pan, Guo, Yali, Wu, Yongxin, Cai, Youcheng, Yang, Yanan, Li, Junting, Zhou, Yanghong, Mok, P. Y., He, Zongqi, Xiao, Zhe, Chan, Kin-Chung, Goshu, Hana Lebeta, Yang, Cuixin, Dong, Rongkang, Xiao, Jun, Lam, Kin-Man, Hao, Jiayao, Gao, Qiong, Zu, Yanyan, Zhang, Junpei, Jiao, Licheng, Liu, Xu, Purohit, Kuldeep
This paper reviews the challenge on Sparse Neural Rendering that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2024. This manuscript focuses on the competition set-up, the proposed methods and their resp
Externí odkaz:
http://arxiv.org/abs/2409.15045
Autor:
Zheng, Junsheng, Yang, Ruoxue, Krasavin, Alexey V., Wang, Zhenxin, Feng, Yuanjia, Tang, Longhua, Li, Linjun, Guo, Xin, Dai, Daoxin, Zayats, Anatoly V., Tong, Limin, Wang, Pan
Enhancement and active control of light-matter interactions at the atomic scale is important for developing next-generation nanophotonic and quantum optical devices. Here, we demonstrate electric control of both excitonic strong coupling and electrol
Externí odkaz:
http://arxiv.org/abs/2409.14742
We present a novel one-fluid cavitation model of a specific Mie-Gr\"uneisen equation of state(EOS), named polynomial EOS, based on an artificial neural network. Not only the physics-informed equation but also the experimental data are embedded into t
Externí odkaz:
http://arxiv.org/abs/2405.02313
We present a novel framework, called FrameNeRF, designed to apply off-the-shelf fast high-fidelity NeRF models with fast training speed and high rendering quality for few-shot novel view synthesis tasks. The training stability of fast high-fidelity m
Externí odkaz:
http://arxiv.org/abs/2402.14586
This paper focuses on the inverse elastic impedance and the geometry problem by a Cauchy data pair on the access part of the boundary in a two-dimensional case. Through the decomposition of the displacement, the problem is transform the solution of i
Externí odkaz:
http://arxiv.org/abs/2401.00236
Autor:
Zhang, Haiming, Yan, Xu, Bai, Dongfeng, Gao, Jiantao, Wang, Pan, Liu, Bingbing, Cui, Shuguang, Li, Zhen
3D occupancy prediction is an emerging task that aims to estimate the occupancy states and semantics of 3D scenes using multi-view images. However, image-based scene perception encounters significant challenges in achieving accurate prediction due to
Externí odkaz:
http://arxiv.org/abs/2312.11829
Autor:
Qi, Yifei, Ni, Longqun, Ye, Zhenyu, Zhang, Jiaojiao, Bao, Xingyu, Wang, Pan, Rao, Yunjiang, Raposo, Ernesto P., Gomes, Anderson S. L., Wang, Zinan
Spin glass theory, as a paradigm for describing disordered magnetic systems, constitutes a prominent subject of study within statistical physics. Replica symmetry breaking (RSB), as one of the pivotal concepts for the understanding of spin glass theo
Externí odkaz:
http://arxiv.org/abs/2312.10898
Autor:
Pan, Chenxinyu, Tong, Yuanbiao, Qian, Haoliang, Krasavin, Alexey V., Li, Jialin, Zhu, Jiajie, Zhang, Yiyun, Cui, Bowen, Li, Zhiyong, Wu, Chenming, Wang, Zhenxin, Liu, Lufang, Li, Linjun, Guo, Xin, Zayats, Anatoly V., Tong, Limin, Wang, Pan
Publikováno v:
Nature Commun. 15 (2024) 2840-2849
Two-dimensional single-crystal metals are highly sought after for next-generation technologies. Here, we report large-area (>10^4 {\mu}m2), single-crystal two-dimensional gold with thicknesses down to a single-nanometer level, employing an atomic-lev
Externí odkaz:
http://arxiv.org/abs/2311.07858