Results 11 to 20 of about 2,393,011 (281)
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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Deformable GANs for Pose-based Human Image Generation [PDF]
, 2018 In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose.
Lathuiliere, Stephane +3 more
core +3 more sources
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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Generalized PCM Coding of Images [PDF]
IEEE Transactions on Image Processing, 2012 Pulse-code modulation (PCM) with embedded quantization allows the rate of the PCM bitstream to be reduced by simply removing a fixed number of least significant bits from each codeword. Although this source coding technique is extremely simple, it has a poor coding efficiency. In this paper, we present a generalized PCM (GPCM) algorithm for images that
Prades Nebot, José +2 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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2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Accepted to CVPR 2019 (Oral)
Zhao, Bo +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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Deep Correlation Multimodal Neural Style Transfer
IEEE Access, 2021 Style transfer is a well-known approach used to transfer the art style of a style image to an input content image, and the core method of the style transfer is to use the Gram matrix for representing the style features of images.
Nguyen Quang Tuyen +3 more
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