Results 31 to 40 of about 9,200 (172)
Improving de novo Molecule Generation by Embedding LSTM and Attention Mechanism in CycleGAN
Frontiers in Genetics, 2021 The application of deep learning in the field of drug discovery brings the development and expansion of molecular generative models along with new challenges in this field.
Feng Wang +6 more
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Innovative paths of CycleGAN loss functions and evolution of cross-domain applications [PDF]
ITM Web of ConferencesImage translation is one of the most popular topics in computer vision. The development of CycleGAN addresses several issues in multi- task applications, including image translation.
Liu Lijia
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ArCycleGAN: Improved CycleGAN for Style Transferring of Fruit Images
IEEE Access, 2021 CycleGAN can realize image translation and style transferring among unpaired images. However, it will easily generate inappropriate image results when the number and shapes of objects in the style offering image and the source image are greatly different.
Hongqian Chen, Mengxi Guan, Hui Li
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Attribute-Guided Face Generation Using Conditional CycleGAN
, 2018 We are interested in attribute-guided face generation: given a low-res face input image, an attribute vector that can be extracted from a high-res image (attribute image), our new method generates a high-res face image for the low-res input that ...
Lu, Yongyi +2 more
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IET Image Processing, 2023 Abstract In recent years, terahertz imaging technology has been widely used in security, medicine, and other fields. However, the image resolution is low due to the limits of imaging equipment and diffraction. Traditional super‐resolution methods based on machine learning use artificial paired image datasets, and their image ...
Huanyu Liu, Haipeng Guo, Xiaodong Liu
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VIGAN: Missing View Imputation with Generative Adversarial Networks
, 2017 In an era when big data are becoming the norm, there is less concern with the quantity but more with the quality and completeness of the data. In many disciplines, data are collected from heterogeneous sources, resulting in multi-view or multi-modal ...
Bi, Jinbo +5 more
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Journal of Applied Informatics and ComputingThis research addresses the urgent need for deep learning-based negative film colorization technology through systematic modifications to the CycleGAN architecture.
Khaulyca Arva Artemysia Khaulyca +7 more
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DE-CycleGAN: An Object Enhancement Network for Weak Vehicle Detection in Satellite Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Vehicle detection is a very important application of remote sensing. However, suffering from the low acutance and insufficient color information, the detection of weak vehicles in satellite imagery still remains a challenge. Image enhancement can improve
Peng Gao +4 more
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CariGANs: Unpaired Photo-to-Caricature Translation
, 2018 Facial caricature is an art form of drawing faces in an exaggerated way to convey humor or sarcasm. In this paper, we propose the first Generative Adversarial Network (GAN) for unpaired photo-to-caricature translation, which we call "CariGANs".
Cao, Kaidi, Liao, Jing, Yuan, Lu
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Manifold fitting with CycleGAN
Proceedings of the National Academy of SciencesManifold fitting, which offers substantial potential for efficient and accurate modeling, poses a critical challenge in nonlinear data analysis. This study presents an approach that employs neural networks to fit the latent manifold. Leveraging the generative adversarial framework, this method learns smooth mappings between low-dimensional latent space
Zhigang Yao, Jiaji Su, Shing-Tung Yau
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