9,719 research outputs found
Semantic Image Synthesis via Adversarial Learning
In this paper, we propose a way of synthesizing realistic images directly
with natural language description, which has many useful applications, e.g.
intelligent image manipulation. We attempt to accomplish such synthesis: given
a source image and a target text description, our model synthesizes images to
meet two requirements: 1) being realistic while matching the target text
description; 2) maintaining other image features that are irrelevant to the
text description. The model should be able to disentangle the semantic
information from the two modalities (image and text), and generate new images
from the combined semantics. To achieve this, we proposed an end-to-end neural
architecture that leverages adversarial learning to automatically learn
implicit loss functions, which are optimized to fulfill the aforementioned two
requirements. We have evaluated our model by conducting experiments on
Caltech-200 bird dataset and Oxford-102 flower dataset, and have demonstrated
that our model is capable of synthesizing realistic images that match the given
descriptions, while still maintain other features of original images.Comment: Accepted to ICCV 201
Production of doubly heavy baryons via Higgs boson decays
We systematically analyzed the production of semi-inclusive doubly heavy
baryons (, and ) for the process through four main Higgs decay
channels within the framework of non-relativistic QCD. The contributions from
the intermediate diquark states, ,
, , , and , have been taken into consideration.
The differential distributions and three main sources of the theoretical
uncertainties have been discussed. At the High Luminosity Large Hadron
Collider, there will be about 0.43 events of ,
6.32 events of and 0.28 events of
produced per year. There are fewer events produced at the Circular Electron
Positron Collider and the International Linear Collider, about events of , events of and
events of in operation.Comment: 15 pages, 3 figures, 7 table
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