However, the RUL methods based on deep learning demand sufficient and varied samples of critical components from run to failure. To compensate for the lack of samples, generative adversarial networks (GAN) and conditional generative adversarial networks (CGAN) are proposed [20–22]. Although GAN an...
Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of realistic images and related functionalities1,2,3,4,5,6,7,8. GANs are based on two types of networks called generators and discriminators, which are denoted byGandD, respectively, in Fig.1...
3.2.4 Generative Adversarial Networks Finally, another important class of convolutional neural networks regards the Generative Adversarial Network (GAN) [40]. A traditional GAN consists of two separate models, the generative network which generates candidate samples based on the original data distribution...
Here, we propose a generative machine learning model (MatGAN) based on a generative adversarial network (GAN) for efficient generation of new hypothetical inorganic materials. Trained with materials from the ICSD database, our GAN model can generate hypothetical materials not existing in the training...
paper | Generative Adversarial Network-Based Intra Prediction for Video Coding 摘要 提出一种新的帧内预测方法,使用GAN来消除空间冗余。基于GAN的方法的方法使用更多的信息来产生更灵活的预测模式。帧内预测被建模为一个去瑕疵过程,使用GAN来充满重建帧中丢失的部分。GAN模型被加入到编码器和解码器中,与传统的预测...
It’s logic-based creativity. - John Romero在你眼里,程序员也许未必是艺术家,但是,编程是一种基于逻辑且极具创造性的职业, 1. 什么是生成对抗网络(Generative Adversarial Network, GAN)? 对抗生成网络是当今计算机科学领域中最有趣的方向之一,通过两个模型相互对抗,同时训练以提升自身能力。这两个模型一个叫...
“ARTGAN” — A Simple Generative Adversarial Networks Based On Art Images Using DeepLearning & Pytorch Creating Generative Art using GANs on Azure ML FUN GAN Generating Modern Art using Generative Adversarial Network(GAN) on Spell State-of-the-Art Image Generative Models 18 Impressive Applications ...
【GAN ZOO翻译系列】基于能量的生成对抗网络 Energy-Based Generative Adversarial Networks 赵俊博, Michael Mathieu, Yann LeCun 纽约大学计算机科学系 Facebook人工智能研究院 {jakezhao, mathieu, yann}@cs.nyu.edu 原文链接https://arxiv.org/abs/1609.03126 引用请注明出处 摘要 本文提出“基于能量的生成对抗...
Patil, "Time-frequency masking-based speech enhancement using generative adversarial network," in Proc. International Conf. on Acoustic, Speech and Signal Processing, 2018. [19] S. Fu, C. Liao, Y. Tsao and S. Lin, "Metricgan: Generative adversarial networks based black-box metric scores ...
【GAN ZOO翻译系列】基于能量的生成对抗网络 Energy-Based Generative Adversarial Networks 赵俊博, Michael Mathieu, Yann LeCun 纽约大学计算机科学系 Facebook人工智能研究院 {jakezhao, mathieu, yann}@cs.nyu.edu 原文链接https://arxiv.org/abs/1609.03126 引用请注明出处 摘要 本文提出“基于能量的生成对抗...