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An Overview of Image Generation of Industrial Surface Defects
Sensors, 2023 Intelligent defect detection technology combined with deep learning has gained widespread attention in recent years. However, the small number, and diverse and random nature, of defects on industrial surfaces pose a significant challenge to deep learning-
Xiaopin Zhong +5 more
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Novel Creation Method of Feature Graphics for Image Generation Based on Deep Learning Algorithms
Mathematics, 2023 In this paper, we propose a novel creation method of feature graphics by deep learning algorithms based on a channel attention module consisting of a separable deep convolutional neural network and an SENet network.
Ying Li, Ye Tang
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A GENETIC APROACH FOR AUTOMATED IMAGE GENERATION: GRAYSCALE IMAGE GENERATION
Journal of Engineering, 2005 Non photorealistic rendering is a new research field in the areas of computer graphics. The goal is to give a more natural feel to computer generated images, by simulating various artistic techniques and to give the sense of an image without reproducing
Bara'a Ali Attea, Aminna Dahim Aboud
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Applied Sciences, 2023 Breast cancer is one of the most common malignancies that threaten women’s health. Ultrasound testing is a widespread technique employed for the early detection of tumors.
Haojun Qin, Lei Zhang, Quan Guo
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Portrait Reification with Generative Diffusion Models
Applied Sciences, 2023 An application of Generative Diffusion Techniques for the reification of human portraits in artistic paintings is presented. By reification we intend the transformation of the painter’s figurative abstraction into a real human face.
Andrea Asperti +2 more
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Dairy Goat Image Generation Based on Improved-Self-Attention Generative Adversarial Networks
IEEE Access, 2020 The lack of long-range dependence in convolutional neural networks causes weaker performance in generative adversarial networks(GANs) with regard to generating image details. The self-attention generative adversarial network(SAGAN) use the self-attention
Huan Li, Jinglei Tang
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Drones, 2023 As technology advances, the use of unmanned aerial vehicles (UAVs) and image sensors for structural monitoring and diagnostics is becoming increasingly critical.
Gi-Hun Gwon +4 more
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The Frequency Discrepancy Between Real and Generated Images
IEEE Access, 2021 Despite the success of Generative Adversarial Networks (GANs), little work has focused on the discrepancy between real and generated images in frequency domain. In this work, we provide a systematic analysis on this topic.
Yuehui Wang +3 more
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Visual Thinking of Neural Networks: Interactive Text to Image Synthesis
IEEE Access, 2021 Reasoning, a trait of cognitive intelligence, is regarded as a crucial ability that distinguishes humans from other species. However, neural networks now pose a challenge to this human ability. Text-to-image synthesis is a class of vision and linguistics,
Hyunhee Lee +3 more
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Enhanced Class-Specific Spatial Normalization for Image Generation
IEEE Access, 2022 We propose an enhanced class-specific spatial normalization, a simple yet effective layer to generate a photorealistic image given a spatial-class map.
Mingle Xu +3 more
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