Attention|Enhanced Generative Adversarial Network for ...

Attention-Enhanced Generative Adversarial Network for ... - MDPI

Hyperspectral imagery (HSI) with high spectral resolution contributes to better material discrimination, while the spatial resolution ...

Attention-Guided Generative Adversarial Network for Explainable ...

We present a novel generic attention-guided generative adversarial network (AG-GAN) for thermal to visible image translation.

[1903.12296] Attention-Guided Generative Adversarial Networks for ...

Abstract:The state-of-the-art approaches in Generative Adversarial Networks (GANs) are able to learn a mapping function from one image ...

Channel attention generative adversarial network for super ...

Two parts are generated by the glioma MRI reconstruction model based on channel attention generative adversarial network. On the one hand, the attention ...

Self-Attention Generative Adversarial Network Enhanced Learning ...

A new learning-based method is proposed for the survival of critical loads in MGs during SEEs. A generative adversarial network (GAN) is applied to generate a ...

[1805.08318] Self-Attention Generative Adversarial Networks - arXiv

Abstract:In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range ...

Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image ...

[PDF] Attention-Guided Generative Adversarial Networks for ...

This paper proposes a novel Attention-Guided Generative Adversarial Network (AGGAN), which can detect the most discriminative semantic object and minimize ...

AT-GAN: A generative adversarial network with attention and ...

We propose a generative adversarial network with intensity attention modules and semantic transition modules, termed AT-GAN, which are more efficient to ...

AttGAN: attention gated generative adversarial network for spatio ...

This study proposes an innovative deep learning-aided approach based on generative adversarial networks named AttGAN, which is specialized for solving the ...

Residual Channel Attention Generative Adversarial Network for ...

In this paper, we propose a Residual Channel Attention-Generative Adversarial Net- work (RCA-GAN) to solve these problems. Specifically, a novel residual ...

Spatial Attention-Guided Generative Adversarial Network ... - PubMed

Compared to non-contrast computed tomography (NC-CT) scans, contrast-enhanced (CE) CT scans provide more abundant information about focal liver lesions ...

Application of Self-Attention Generative Adversarial Network for ...

The accuracy of the reconstructed image was improved by fusing the input data and the noise immunity was enhanced. Numerical results demonstrate the ...

Enhanced network optimized generative adversarial network for ...

In this paper, a low-light image enhancement method based on the enhanced network module optimized Generative Adversarial Networks(GAN) is proposed.

GAN — Self-Attention Generative Adversarial Networks (SAGAN)

GAN use attention to improve image quality, like how attention improves accuracy in language translation and image captioning.

Self-Attention Generative Adversarial Networks

In this paper, we propose the Self-Attention Gen- erative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image ...

heykeetae/Self-Attention-GAN: Pytorch implementation of ... - GitHub

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) - heykeetae/Self-Attention-GAN.

Attention Based Data Hiding with Generative Adversarial Networks

Abstract. Recently, the generative adversarial network is the hotspot in research and industrial areas. Its application on data generation is the most common ...

Attention-Enhanced Generative Adversarial Network ... - NASA ADS

Hyperspectral imagery (HSI) with high spectral resolution contributes to better material discrimination, while the spatial resolution limited by the sensor ...

(PDF) Enhancing Generative Adversarial Networks with Attention ...

This research paper introduces a novel Attention-Enhanced Generative Adversarial Network (A-GAN) that integrates attention mechanisms into the GAN frame- work.