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Sketch2Relief: Generating Bas-relief from Sketches with Deep Generative Networks

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Sketch2Relief: Generating Bas-relief from Sketches with Deep...

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Shizhe Zhou Zeyu Liu Key Laboratory of High Performance Computing and Stochastic Information Processing Ministry of Education of China College of Computer Science and Electronic Engineering Hunan University Changsha China

ISBN: (数字)9781728192284

ISBN: (纸本)9781728185361

We present a novel sketch-based system for generating digital bas-relief sculptures. All existing computational methods for generating digital bas-reliefs first require the input of a three-dimensional (3D) scene, thus preventing artists from freely creating or exploring designs when 3D data are not available. Motivated by this limitation, we propose a generative adversarial network (GAN)-based sketch modeling system for generating digital bas-reliefs from freehand user sketches (see Figure 1, 5). The basic tool underpinning the interface is a conditional GAN (cGAN) that digitally learns a functional map from a contour image to a 3D model for any given viewpoint of the corresponding bas-relief model. When using our system for designing bas-reliefs, the user only needs to draw 2D sketch lines without having to designate any additional hints on the lines. The interface returns bas-relief results in interactive time (500 ms per bas-relief on average). We tested the quality and robustness of our approach with extensive and comprehensive experiments. By carefully analyzing the results, we verified that our system can faithfully reconstruct bas-reliefs from a test dataset and can generate completely new reliefs from raw amateur sketches.

关键词： Solid modeling Three-dimensional displays Two dimensional displays Neural networks Tools Generative adversarial networks Robustness

HeadCap: A Hierarchical Encoder-And-Decoder Image Captioning Model

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HeadCap: A Hierarchical Encoder-And-Decoder Image Captioning...

International Conference on Intelligent computing, Automation and Systems (ICICAS)

作者： Wenjing Yang Shiwei Wang Long Lan Institute for Quantum Information & State Key Laboratory of High Performance Computing National University of Defense Technology Changsha China Yunnan North Optical & Electronic Instrument Co. Ltd Kunming China

The following topics are dealt with: power grids; learning (artificial intelligence); power engineering computing; feature extraction; deep learning (artificial intelligence); image classification; image segmentation;... 详细信息

关键词： Bridges Visualization Automation Semantics Computer architecture Feature extraction Decoding

Chiral Phosphoric Acid Catalyzed Asymmetric Hydrolysis of Biaryl Oxazepines for the Synthesis of Axially Chiral Biaryl Amino Phenol Derivatives

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Angewandte Chemie 2023年第39期135卷

作者： Liwen Wei Jiaomeng Li Yi Zhao Qinglong Zhou Zhikang Wei Yuhang Chen Dr. Xinglong Zhang Prof. Dr. Xing Yang Key Laboratory of Chemical Biology and Traditional Chinese Medicine (Ministry of Educational of China) Key Laboratory of the Assembly and Application of Organic Functional Molecules of Hunan Province College of Chemistry and Chemical Engineering Hunan Normal University Changsha 410081 P. R. China Institute of High Performance Computing Agency for Science Technology and Research (A*STAR) Singapore 138632 Singapore

The development of catalytic asymmetric reaction with water as the reactant is challenging due to the reactivity- and stereoselectivity-control issues resulted from the low nucleophilicity and the small size of water. We disclose herein a chiral phosphoric acid (CPA) catalyzed atroposelective ring-opening reaction of biaryl oxazepines with water. A series of biaryl oxazepines undergo the CPA catalyzed asymmetric hydrolysis in a highly enantioselective manner. The key for the success of this reaction is the use of a new SPINOL-derived CPA catalyst and the high reactivity of biaryl oxazepine substrates towards water under acidic conditions. Density functional theory calculations suggest that the reaction proceeds via a dynamic kinetic resolution pathway and the CPA catalyzed addition of water to the imine group is both enantio- and rate-determining.

关键词： Atropisomerism Bridged Biaryls Hydrolysis Organocatalysis Ring-Opening

Optimization of a global seventh-order dissipative compact finite-difference scheme by a genetic algorithm

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Applied Mathematics and Mechanics(English Edition) 2018年第11期39卷 1679-1690页

作者： Yu LIN Yaming CHEN Chuanfu XU Xiaogang DENG College of Computer National University of Defense Technology College of Aerospace Science and Engineering National University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology

A global seventh-order dissipative compact finite-difference scheme is optimized in terms of time stability. The dissipative parameters appearing in the boundary closures are assumed to be different, resulting in an optimization problem with several parameters determined by applying a generic algorithm. The optimized schemes are analyzed carefully from the aspects of the eigenvalue distribution, the ε-pseudospectra, the short time behavior, and the Fourier analysis. Numerical experiments for the Euler equations are used to show the effectiveness of the final recommended scheme.

关键词： high-order dissipative compact finite-difference scheme genetic algorithm time stable

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

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arXiv 2020年

作者： Xiong, Fu Xiao, Yang Cao, Zhiguo Wang, Yancheng Zhou, Joey Tianyi Wu, Jianxin National Key Laboratory of Science and Technology on Multispectral Information Processing School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Institute of High Performance Computing A*STAR Singapore Singapore National Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China

Face verification can be regarded as a 2-class fine-grained visual recognition problem. Enhancing the feature’s discriminative power is one of the key problems to improve its performance. Metric learning technology is often applied to address this need, while achieving a good tradeoff between underfitting and overfitting plays the vital role in metric learning. Hence, we propose a novel ensemble cascade metric learning (ECML) mechanism. In particular, hierarchical metric learning is executed in the cascade way to alleviate underfitting. Meanwhile, at each learning level, the features are split into non-overlapping groups. Then, metric learning is executed among the feature groups in the ensemble manner to resist overfitting. Considering the feature distribution characteristics of faces, a robust Mahalanobis metric learning method (RMML) with closed-form solution is additionally proposed. It can avoid the computation failure issue on inverse matrix faced by some well-known metric learning approaches (e.g., KISSME). Embedding RMML into the proposed ECML mechanism, our metric learning paradigm (EC-RMML) can run in the one-pass learning manner. Experimental results demonstrate that EC-RMML is superior to state-of-the-art metric learning methods for face verification. And, the proposed ensemble cascade metric learning mechanism is also applicable to other metric learning approaches. Copyright © 2020, The Authors. All rights reserved.

关键词： Inverse problems

Observation of quantum oscillations near the Mott-Ioffe-Regel limit in CaAs3

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arXiv 2024年

作者： Wang, Yuxiang Zhao, Minhao Zhang, Jinglei Wu, Wenbin Li, Shichao Zhang, Yong Jiang, Wenxiang Joseph, Nesta Benno Xu, Liangcai Mou, Yicheng Yang, Yunkun Leng, Pengliang Zhang, Yong Pi, Li Suslov, Alexey Ozerov, Mykhaylo Wyzula, Jan Orlita, Milan Zhu, Fengfeng Zhang, Yi Kou, Xufeng Zhu, Zengwei Narayan, Awadhesh Qian, Dong Wen, Jinsheng Yuan, Xiang Xiu, Faxian Zhang, Cheng State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China State Key Laboratory of Surface Physics Department of Physics Fudan University Shanghai200433 China Shanghai Qi Zhi Institute 41st Floor AI Tower No. 701 Yunjin Road Xuhui District Shanghai200232 China Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory of the Chinese Academy of Sciences Hefei230031 China State Key Laboratory of Precision Spectroscopy East China Normal University Shanghai200241 China National Laboratory of Solid State Microstructures Department of Physics Nanjing University Nanjing210093 China School of Physics and Astronomy Shanghai Jiao Tong University Shanghai200240 China Solid State and Structural Chemistry Unit Indian Institute of Science Bangalore560012 India Wuhan National High Magnetic Field Center School of Physics Huazhong University of Science and Technology Wuhan430074 China School of Information Science and Technology ShanghaiTech University Shanghai201210 China National High Magnetic Field Laboratory TallahasseeFL32310 United States LNCMI-CNRS UPR3228 Université Grenoble Alpes Université Toulouse 3 INSA Toulouse EMFL 25 rue des Martyrs BP166 Grenoble38042 Cedex 9 France International Center for Quantum Materials School of Physics Peking University Beijing100871 China School of Physics and Electronic Science East China Normal University Shanghai200241 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai201210 China Shanghai Research Center for Quantum Sciences Shanghai201315 China

The Mott-Ioffe-Regel limit sets the lower bound of carrier mean free path for coherent quasiparticle transport.1,2 Metallicity beyond this limit is of great interest because it is often closely related to quantum criticality and unconventional superconductivity.3–5 Progress along this direction mainly focuses on the strange-metal behaviors originating from the evolution of quasiparticle scattering rate such as linear-in-temperature resistivity4, while the quasiparticle coherence phenomena in this regime are much less explored due to the short mean free path at the diffusive bound. Here we report the observation of quantum oscillations from Landau quantization near the Mott-Ioffe-Regel limit in CaAs3. Despite the insulator-like temperature dependence of resistivity, CaAs3 presents giant magnetoresistance and prominent Shubnikov–de Haas oscillations from Fermi surfaces, indicating highly-coherent band transport. In contrast, the quantum oscillation is absent in the magnetic torque. The quasiparticle effective mass increases systematically with magnetic fields, manifesting a much larger value than the expectation given by magneto-infrared spectroscopy. It suggests a strong many-body renormalization effect near Fermi surface. We find that these unconventional behaviors may be explained by the interplay between the mobility edge and the van Hove singularity, which results in the formation of coherent cyclotron orbits emerging at the diffusive bound. Our results call for further study on the electron correlation effect of the van Hove singularity. © 2024, CC BY.

关键词： Infrared spectroscopy

Discrimination of dephasing sources by continuous dynamical decoupling

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arXiv 2020年

作者： Zhang, Manchao Xie, Yi Zhang, Jie Wang, Weichen Wu, Chunwang Chen, Ting Wu, Wei Chen, Pingxing Department of Physics College of Liberal Arts and Sciences National University of Defense Technology Changsha Hunan410073 China State Key Laboratory of High Performance Computing National University of Defense Technology Changsha Hunan410073 China

Decoherence induced by the unwanted noise is one of the most important obstacles to be overcame in the quantum information processing. To do this, the noise power spectral density needs to be accurately characterized and then used to the quantum operation optimization. The known continuous dynamical decoupling technique can be used here as a noise probing method based on a continuous-wave resonant excitation field, followed by a gradient descent protocol. In this paper, we estimate the noise spectroscopy over a frequency range 0-530 kHz for both laser frequency and magnetic field noises by monitoring the transverse relaxation from an initial state |+σxi. In the case of the laser noise, we also research into two dominant components centered at 81.78 and 163.50 kHz. We make an analogy with these noise components and driving lasers whose lineshape is assumed to be Lorentzian. This method is verified by the experimental data and finally helps to characterize the noise. Copyright © 2020, The Authors. All rights reserved.

关键词： Gradient methods

Method to deterministically generate large-amplitude optical cat states

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arXiv 2023年

作者： Li, Zheng-Hong Yu, Fei Li, Zhen-Ya Al-Amri, M. Zubairy, M. Suhail Institute for Quantum Science and Technology Department of Physics Shanghai University Shanghai200444 China Shanghai Key Laboratory of High Temperature Superconductors Shanghai University Shanghai200444 China Department of Physics and Astronomy Texas A&M University College StationTX77843-4242 United States NCQOQI KACST P.O.Box 6086 Riyadh11442 Saudi Arabia Institute of Quantum Technologies and Advanced Computing KACST Riyadh11442 Saudi Arabia

Cat states, as an important resource in the study of macroscopic quantum superposition and quantum information applications, have garnered widespread attention. To date, preparing large-sized optical cat states has remained challenging. We demonstrate that, by utilizing interaction-free measurement and the quantum Zeno effect, even a fragile quantum microscopic system can deterministically control and become entangled with strong light fields, thereby generating large-amplitude optical cat states. During the entire preparation process, our method ensures that the microscopic system functions within a weak field environment, so that its quantum property can be protected. Furthermore, we show that the preparation of cat states is possible even when the quantum microsystem suffers from significant photon loss, provided that optical losses from classical devices are kept low, which implies that the fidelity of the cat state can be enhanced by improvements to and the perfection of the classical optical system. Copyright © 2023, The Authors. All rights reserved.

关键词： Optical systems

Stability and error analysis of imex sav schemes for the magneto-hydrodynamic equations

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arXiv 2021年

作者： Li, Xiaoli Wang, Weilong Shen, Jie School of Mathematics Shandong University JinanShandong250100 China School of Mathematical Sciences Fujian Provincial Key Laboratory on Mathematical Modeling and High Performance Scientific Computing Xiamen University XiamenFujian361005 China Department of Mathematics Purdue University West LafayetteIN47907 United States

We construct and analyze first- and second-order implicit-explicit (IMEX) schemes based on the scalar auxiliary variable (SAV) approach for the magneto-hydrodynamic equations. These schemes are linear, only require solving a sequence of linear differential equations with constant coefficients at each time step, and are unconditionally energy stable. We derive rigorous error estimates for the velocity, pressure and magnetic field of the first-order scheme in the two dimensional case without any condition on the time step. Numerical examples are presented to validate the proposed schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Errors