Results 21 to 30 of about 2,393,011 (281)
Improved Boundary Equilibrium Generative Adversarial Networks
IEEE Access, 2018 Boundary equilibrium generative adversarial networks (BEGANs) can generate impressively realistic face images, but there is a trade-off between the quality and the diversity of generated images.
Yanchun Li, Nanfeng Xiao, Wanli Ouyang
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Chinese Digital Arm (CDA): A High-Precision Digital Arm for Electrical Stimulation Simulation
Bioengineering, 2023 To effectively analyze the diffusion and accumulation of signals on the surface and inside the human body under electrical stimulation, we used the gray threshold of the Chinese Digital Human image dataset to segment an arm image and reconstruct the ...
Shuang Zhang +4 more
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From Eyes to Face Synthesis: a New Approach for Human-Centered Smart Surveillance
IEEE Access, 2018 With the popularity of surveillance cameras and the development of deep learning, significant progress has been made in the field of smart surveillance.
Xiang Chen +4 more
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Analog Spatial Light Modulators Based on Micromirror Arrays
Micromachines, 2021 The Fraunhofer Institute for Photonic Microsystems (IPMS) has been developing and manufacturing micromirror arrays for more than 20 years. While originally focusing on applications related to microlithography and therefore mainly for light in the deep ...
Ulrike Dauderstädt +4 more
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Semantically Invariant Text-to-Image Generation
, 2018 Image captioning has demonstrated models that are capable of generating plausible text given input images or videos. Further, recent work in image generation has shown significant improvements in image quality when text is used as a prior.
Dominguez, Miguel +6 more
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SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation
, 2020 The testing of Deep Neural Networks (DNNs) has become increasingly important as DNNs are widely adopted by safety critical systems. While many test adequacy criteria have been suggested, automated test input generation for many types of DNNs remains a ...
Goodfellow Ian +3 more
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International Journal on Soft Computing, Artificial Intelligence and Applications, 2018 Generating images from a text description is as challenging as it is interesting. The Adversarial network performs in a competitive fashion where the networks are the rivalry of each other. With the introduction of Generative Adversarial Network, lots of development is happening in the field of Computer Vision.
Mahima Pandya, Prof. Sonal Rami
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Learning a Recurrent Visual Representation for Image Caption Generation
, 2014 In this paper we explore the bi-directional mapping between images and their sentence-based descriptions. We propose learning this mapping using a recurrent neural network.
Chen, Xinlei, Zitnick, C. Lawrence
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Product Image Generation Method Based on Morphological Optimization and Image Style Transfer
Applied SciencesIn order to improve the controllability and esthetics of product image generation, from the perspective of design, this study proposes a product image generation method based on morphological optimization, esthetic evaluation, and style transfer. Firstly,
Aimin Zhou +5 more
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InformationThis paper presents a novel method for the super-resolution reconstruction and generation of synthetic aperture radar (SAR) images with an improved single-image generative adversarial network (ISinGAN).
Xuguang Yang +3 more
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