4,529 research outputs found
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
With the development of deep generative models, recent years have seen great
success of Chinese landscape painting generation. However, few works focus on
controllable Chinese landscape painting generation due to the lack of data and
limited modeling capabilities. In this work, we propose a controllable Chinese
landscape painting generation method named CCLAP, which can generate painting
with specific content and style based on Latent Diffusion Model. Specifically,
it consists of two cascaded modules, i.e., content generator and style
aggregator. The content generator module guarantees the content of generated
paintings specific to the input text. While the style aggregator module is to
generate paintings of a style corresponding to a reference image. Moreover, a
new dataset of Chinese landscape paintings named CLAP is collected for
comprehensive evaluation. Both the qualitative and quantitative results
demonstrate that our method achieves state-of-the-art performance, especially
in artfully-composed and artistic conception. Codes are available at
https://github.com/Robin-WZQ/CCLAP.Comment: 8 pages,13 figure
Exposure to crude microcystins via intraperitoneal injection, but not oral gavage, causes hepatotoxicity in ducks
Recently, large-scale cyanobacterial blooms have occurred in fishponds near the suburbs of Xinxiang City in China. The present study aimed to identify the cyanobacterial blooms in the fishpond and evaluate their toxicity on ducks via intraperitoneal injection or oral exposure (gavage) of crude microcystins obtained from the scum of cyanobacterial bloom. The results of the acute toxicity tests showed that intraperitoneal injection of crude microcystin solution caused hepatotoxicity in ducks and ducklings, but oral exposure failed to do so. This result confirms the observation of no duck intoxication by a natural way of oral exposure in the fishponds during the periods of blooms. In addition, subchronic exposure of microcystins by intraperitoneal injection significantly inhibited the growth of ducklings.Keywords: Microcystis bloom, microcystins, duck, toxicit
Mild traumatic brain injury is associated with effect of inflammation on structural changes of default mode network in those developing chronic pain
BACKGROUND: Mild traumatic brain injury (mTBI) has a higher prevalence (more than 50%) of developing chronic posttraumatic headache (CPTH) compared with moderate or severe TBI. However, the underlying neural mechanism for CPTH remains unclear. This study aimed to investigate the inflammation level and cortical volume changes in patients with acute PTH (APTH) and further examine their potential in identifying patients who finally developed CPTH at follow-up.
METHODS: Seventy-seven mTBI patients initially underwent neuropsychological measurements, 9-plex panel of serum cytokines and MRI scans within 7 days post-injury (T-1) and 54 (70.1%) of patients completed the same protocol at a 3-month follow-up (T-2). Forty-two matched healthy controls completed the same protocol at T-1 once.
RESULTS: At baseline, mTBI patients with APTH presented significantly increased GM volume mainly in the right dorsal anterior cingulate cortex (dACC) and dorsal posterior cingulate cortex (dPCC), of which the dPCC volume can predict much worse impact of headache on patients\u27 lives by HIT-6 (β = 0.389, P = 0.007) in acute stage. Serum levels of C-C motif chemokine ligand 2 (CCL2) were also elevated in these patients, and its effect on the impact of headache on quality of life was partially mediated by the dPCC volume (mean [SE] indirect effect, 0.088 [0.0462], 95% CI, 0.01-0.164). Longitudinal analysis showed that the dACC and dPCC volumes as well as CCL2 levels had persistently increased in patients developing CPTH 3 months postinjury.
CONCLUSION: The findings suggested that structural remodelling of DMN brain regions were involved in the progression from acute to chronic PTH following mTBI, which also mediated the effect of inflammation processes on pain modulation.
TRIAL REGISTRATION: ClinicalTrial.gov ID: NCT02868684 ; registered 16 August 2016
2-[5-(1,3-Benzodioxol-5-yl)-3-ferrocenyl-4,5-dihydro-1H-pyrazol-1-yl]-4-phenyl-1,3-thiazole
In the title compound, [Fe(C5H5)(C24H18N3O2S)], the pyrazoline ring adopts a twist conformation. The thiazole ring forms dihedral angles of 83.7 (2) and 34.4 (2)° with the benzene ring of the benzodioxole ring and the fused phenyl ring, respectively. The molecular conformation is stabilized by an intramolecular C—H⋯π interaction. The crystal packing features intermolecular C—H⋯N, C—H⋯O hydrogen bonds and weak C—H⋯π interactions
5-Phenyl-3,4,4a,5,6,12c-hexahydro-2H-benzo[f]pyrano[3,2-c]quinoline
In the title compound, C22H21N, the pyridine ring adopts a distorted boat conformation, while the adjacent pyran ring adopts a chair conformation; the heterocyclic rings make a dihedral angle of 40.1 (2)° with each other
μ-4,4′-Diazenediyldiphthalato-κ2 O 2:O 2′-bis[pentaaquamanganese(II)] tetrahydrate
The dinuclear complex in the title compound, [Mn2(C16H6N2O8)(H2O)10]·4H2O, lies on an inversion center. Two delocalized carboxylate groups are each connected in a monodentate fashion to two similar pentaaquamanganese units, whereas the other two localized carboxylate groups are uncoordinated. The metal ion has octahedral coordination, with the O atom of a carboxylate group and three coordinated water molecules forming the equatorial plane [Mn—OCOO = 2.143 (4) Å] and two water molecules occupying the axial positions. The architecture is further consolidated by extensive hydrogen bonds for which coordinated water molecules serve as donors or acceptors
2-[3-(2-Chlorophenyl)-5-oxo-1,5-diphenylpentylidene]malononitrile
In the title compound, C26H19ClN2O, the 2-chlorophenyl group forms dihedral angles of 59.6 (1) and 31.9 (1)° with the phenyl rings. The two phenyl rings are inclined at a dihedral angle of 32.9 (1)° with respect to each other. In the crystal, an intermolecular C—H⋯N hydrogen bond links the molecules into a polymeric chain running along the c axis
High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors
High-fidelity facial avatar reconstruction from a monocular video is a
significant research problem in computer graphics and computer vision.
Recently, Neural Radiance Field (NeRF) has shown impressive novel view
rendering results and has been considered for facial avatar reconstruction.
However, the complex facial dynamics and missing 3D information in monocular
videos raise significant challenges for faithful facial reconstruction. In this
work, we propose a new method for NeRF-based facial avatar reconstruction that
utilizes 3D-aware generative prior. Different from existing works that depend
on a conditional deformation field for dynamic modeling, we propose to learn a
personalized generative prior, which is formulated as a local and low
dimensional subspace in the latent space of 3D-GAN. We propose an efficient
method to construct the personalized generative prior based on a small set of
facial images of a given individual. After learning, it allows for
photo-realistic rendering with novel views and the face reenactment can be
realized by performing navigation in the latent space. Our proposed method is
applicable for different driven signals, including RGB images, 3DMM
coefficients, and audios. Compared with existing works, we obtain superior
novel view synthesis results and faithfully face reenactment performance.Comment: 8 pages, 7 figure
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