190 research outputs found
AvatarStudio: High-fidelity and Animatable 3D Avatar Creation from Text
We study the problem of creating high-fidelity and animatable 3D avatars from
only textual descriptions. Existing text-to-avatar methods are either limited
to static avatars which cannot be animated or struggle to generate animatable
avatars with promising quality and precise pose control. To address these
limitations, we propose AvatarStudio, a coarse-to-fine generative model that
generates explicit textured 3D meshes for animatable human avatars.
Specifically, AvatarStudio begins with a low-resolution NeRF-based
representation for coarse generation, followed by incorporating SMPL-guided
articulation into the explicit mesh representation to support avatar animation
and high resolution rendering. To ensure view consistency and pose
controllability of the resulting avatars, we introduce a 2D diffusion model
conditioned on DensePose for Score Distillation Sampling supervision. By
effectively leveraging the synergy between the articulated mesh representation
and the DensePose-conditional diffusion model, AvatarStudio can create
high-quality avatars from text that are ready for animation, significantly
outperforming previous methods. Moreover, it is competent for many
applications, e.g., multimodal avatar animations and style-guided avatar
creation. For more results, please refer to our project page:
http://jeff95.me/projects/avatarstudio.htmlComment: Project page at http://jeff95.me/projects/avatarstudio.htm
Single-shot deterministic complex amplitude imaging with a single-layer metalens
Conventional imaging systems can only capture light intensity. Meanwhile, the
lost phase information may be critical for a variety of applications such as
label-free microscopy and optical metrology. Existing phase retrieval
techniques typically require a bulky setup, multi-frame measurements, or prior
information of the target scene. Here, we proposed an extremely compact system
for complex amplitude imaging, leveraging the extreme versatility of a
single-layer metalens to generate spatially-multiplexed and
polarization-phase-shifted point spread functions. Combining the metalens with
a polarization camera, the system can simultaneously record four polarization
shearing interference patterns along both in-plane directions, thus allowing
the deterministic reconstruction of the complex amplitude light field in a
single shot. Using an incoherent light-emitting diode as the illumination, we
experimentally demonstrated speckle-noise-free complex amplitude imaging for
both static and moving objects with tailored magnification ratio and
field-of-view. The miniaturized and robust system may open the door for complex
amplitude imaging in portable devices for point-of-care applications
Observation of superconductivity in 3D Dirac semimetal Cd3As2 crystal
Lately, the three-dimensional (3D) Dirac semimetal, which possesses 3D linear
dispersion in electronic structure as a bulk analogue of graphene, has
generated widespread interests in both material science and condensed matter
physics. Very recently, crystalline Cd3As2 has been proposed and proved to be
one of 3D Dirac semimetals which can survive in atmosphere. Here, by controlled
point contact (PC) measurement, we observe the exotic superconductivity around
point contact region on the surface of Cd3As2 crystal. The observation of zero
bias conductance peak (ZBCP) and double conductance peaks (DCPs) symmetric to
zero bias further reveal p-wave like unconventional superconductivity in Cd3As2
quantum matter. Considering the topological property of the 3D Dirac semimetal,
our findings may indicate that the Cd3As2 crystal under certain conditions is a
candidate of the topological superconductor, which is predicted to support
Majorana zero modes or gapless Majorana edge/surface modes in the boundary
depending on the dimensionality of the material
Optimal dispatch based on prediction of distributed electric heating storages in combined electricity and heat networks
The volatility of wind power generations could significantly challenge the economic and secure operation of combined electricity and heat networks. To tackle this challenge, this paper proposes a framework of optimal dispatch with distributed electric heating storage based on a correlation-based long short-term memory prediction model. The prediction model of distributed electric heating storage is developed to model its behavior characteristics which are obtained by the autocorrelation and correlation analysis with external factors including weather and time-of-use price. An optimal dispatch model of combined electricity and heat networks is then formulated and resolved by a constraint reduction technique with clustering and classification. Our method is verified through numerous simulations. The results show that, compared with the state-of-the-art techniques of support vector machine and recurrent neural networks, the mean absolute percentage error with the proposed correlation-based long short-term memory can be reduced by 1.009 and 0.481 respectively. Compared with conventional method, the peak wind power curtailment with dispatching distributed electric heating storage is reduced by nearly 30% and 50% in two cases respectively
Efficacy and safety of triazavirin therapy for coronavirus disease 2019 : A pilot randomized controlled trial
Acknowledgements: We are deeply grateful to the front-line clinicians who participated in the study while directly fighting the epidemic. This study was supported by the Chinese Academy of Engineering Projects for COVID-19 (2020-KYGG-01-04) and Heilongjiang Province Urgent Project-6 for COVID-19. Data and safety monitoring board members of this trial included Kang Li, Yong Zhang, Songjiang Liu, and Yaohui Shi.Peer reviewedPublisher PD
A Protective Role by Interleukin-17F in Colon Tumorigenesis
Interleukin-17F (IL-17F), produced by Th17 cells and other immune cells, is a member of IL-17 cytokine family with highest homology to IL-17A. IL-17F has been shown to have multiple functions in inflammatory responses. While IL-17A plays important roles in cancer development, the function of IL-17F in tumorigenesis has not yet been elucidated. In the current study, we found that IL-17F is expressed in normal human colonic epithelial cells, but this expression is greatly decreased in colon cancer tissues. To examine the roles of IL-17F in colon cancer, we have used IL-17F over-expressing colon cancer cell lines and IL-17F-deficient mice. Our data showed decreased tumor growth of IL-17F-transfected HCT116 cells comparing to mock transfectants when transplanted in nude mice. Conversely, there were increased colonic tumor numbers and tumor areas in Il-17f−/− mice than those from wild-type controls after colon cancer induction. These results indicate that IL-17F plays an inhibitory role in colon tumorigenesis in vivo. In IL-17F over-expressing tumors, there was no significant change in leukocyte infiltration; instead, we found decreased VEGF levels and CD31+ cells. While the VEGF levels were increased in the colon tissues of Il-17f−/− mice with colon cancer. Together, our findings demonstrate a protective role for IL-17F in colon cancer development, possibly via inhibiting tumor angiogenesis
The changing trends of HIV-1 prevalence and incidence from sentinel surveillance of five sub-populations in Yunnan, China, 2001–2010
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