3,805 research outputs found
Super-resolution image transfer by a vortex-like metamaterial
We propose a vortex-like metamaterial device that is capable of transferring
image along a spiral route without losing subwavelength information of the
image. The super-resolution image can be guided and magnified at the same time
with one single design. Our design may provide insights in manipulating
super-resolution image in a more flexible manner. Examples are given and
illustrated with numerical simulations.Comment: 7 pages, 6 figure
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network
The acquisition of light field images with high angular resolution is costly.
Although many methods have been proposed to improve the angular resolution of a
sparsely-sampled light field, they always focus on the light field with a small
baseline, which is captured by a consumer light field camera. By making full
use of the intrinsic \textit{geometry} information of light fields, in this
paper we propose an end-to-end learning-based approach aiming at angularly
super-resolving a sparsely-sampled light field with a large baseline. Our model
consists of two learnable modules and a physically-based module. Specifically,
it includes a depth estimation module for explicitly modeling the scene
geometry, a physically-based warping for novel views synthesis, and a light
field blending module specifically designed for light field reconstruction.
Moreover, we introduce a novel loss function to promote the preservation of the
light field parallax structure. Experimental results over various light field
datasets including large baseline light field images demonstrate the
significant superiority of our method when compared with state-of-the-art ones,
i.e., our method improves the PSNR of the second best method up to 2 dB in
average, while saves the execution time 48. In addition, our method
preserves the light field parallax structure better.Comment: This paper was accepted by AAAI 202
Half Metallic Bilayer Graphene
Charge neutral bilayer graphene has a gapped ground state as transport
experiments demonstrate. One of the plausible such ground states is layered
antiferromagnetic spin density wave (LAF) state, where the spins in top and
bottom layers have same magnitude with opposite directions. We propose that
lightly charged bilayer graphene in an electric field perpendicular to the
graphene plane may be a half metal as a consequence of the inversion and
particle-hole symmetry broken in the LAF state. We show this explicitly by
using a mean field theory on a 2-layer Hubbard model for the bilayer graphene.Comment: 4+ pages, 4 figure
First report on the occurrence of Rickettsia slovaca and Rickettsia raoultii in Dermacentor silvarum in China
10.1186/1756-3305-5-19Parasites and Vectors511
Using inductive Energy Participation Ratio for Superconducting Quantum Chip Characterization
We have developed an inductive energy participation ratio (iEPR) method and a
concise procedure for superconducting quantum chip layout simulation and
verification that is increasingly indispensable in large-scale, fault-tolerant
quantum computing. It can be utilized to extract the characteristic parameters
and the bare Hamiltonian of the layout in an efficient way. In theory, iEPR
sheds light on the deep-seated relationship between energy distribution and
representation transformation. As a stirring application, we apply it to a
typical quantum chip layout, obtaining all the crucial characteristic
parameters in one step that would be extremely challenging through the existing
methods. Our work is expected to significantly improve the simulation and
verification techniques and takes an essential step toward quantum electronic
design automation
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