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Pose image generation for video content creation using controlled human pose image generation GAN
Human pose image generation is a challenging task in computer vision with applications in animation, gaming, and virtual reality. This paper presents...
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Multi-style image generation based on semantic image
Image generation has always been one of the important research directions in the field of computer vision. It has rich applications in virtual...
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Generative adversarial text-to-image generation with style image constraint
Most text-to-image generation works focus on the semantic consistency and neglect the style of the generated image. In this paper, a novel...
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Comprehensive Relation Modelling for Image Paragraph Generation
Image paragraph generation aims to generate a long description composed of multiple sentences, which is different from traditional image captioning...
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Controllable image generation based on causal representation learning
Artificial intelligence generated content (AIGC) has emerged as an indispensable tool for producing large-scale content in various forms, such as...
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Multi-granularity sequence generation for hierarchical image classification
Hierarchical multi-granularity image classification is a challenging task that aims to tag each given image with multiple granularity labels...
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Efficient Visual Metaphor Image Generation Based on Metaphor Understanding
Metaphor has significant implications for revealing cognitive and thinking mechanisms. Visual metaphor image generation not only presents...
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Automatic image caption generation using deep learning
Image captioning is an interesting and challenging task with applications in diverse domains such as image retrieval, organizing and locating images...
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Boundary-aware GAN for multiple overlap** objects in layout-to-image generation
Existing layout-to-image generation methods based on generative adversarial networks (GANs) have made great progress. However, a common problem that...
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An efficient automated image caption generation by the encoder decoder model
Image caption generation is becoming one of the hot research topics and attracts various researchers. It is a complex process because it utilizes...
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Deep stereoscopic image saliency inspired stereoscopic image thumbnail generation
In this paper, we propose a stereoscopic image thumbnail generation method guided by the stereoscopic image saliency. Specifically, we utilize an...
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Image Generation from Hyper Scene Graph with Multiple Types of Trinomial Hyperedges
Generating realistic images is one of the important problems in the field of computer vision. Generating consistent images with a user’s input is...
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Locally controllable network based on visual–linguistic relation alignment for text-to-image generation
Since locally controllable text-to-image generation cannot achieve satisfactory results in detail, a novel locally controllable text-to-image...
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Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation
Generative adversarial networks (GANs) have achieved remarkable progress in the natural image field. However, when applying GANs in the remote...
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Open-Vocabulary Text-Driven Human Image Generation
Generating human images from open-vocabulary text descriptions is an exciting but challenging task. Previous methods (i.e., Text2Human) face two...
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Controllable fundus image generation based on conditional generative adversarial networks with mask guidance
Fundus image generation can serve training data diversity as well as clinical and medical education. To solve the problem of the controllability and...
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A plaintext-related image encryption scheme based on key generation using generative adversarial networks
Image encryption based on chaotic systems is a hot research topic in recent decade. However, the existing methods have shortcomings in key generation...
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PMGAN: pretrained model-based generative adversarial network for text-to-image generation
Text-to-image generation is a challenging task. Although diffusion models can generate high-quality images of complex scenes, they sometimes suffer...
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Image caption generation using transformer learning methods: a case study on instagram image
Nowadays, images are being used more extensively for communication purposes. A single image can convey a variety of stories, depending on the...
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Stabilized Performance Maximization for GAN-based Real-Time Authentication Image Generation over Internet
Providing the completely automated public test to tell computers and humans apart (CAPTCHA) services that are not vulnerable to learning is an...
