2014-2019年很全的关于GAN、uNET、WGAN、BEGAN、WGAN神经网络机器学习图像处理论文

【实例简介】
2014-2019年很全的关于GAN、uNET、WGAN、BEGAN、WGAN神经网络机器学习图像处理论文
【实例截图】
【核心代码】
2c4d58c2-b991-4aa2-977d-e210fc84d44a
└── 2018年机器学习神经网路研究论文
├── 2014 Accelerating magnetic resonance imaging via deep learning.pdf
├── 2014 Conditional GAN.pdf
├── 2014 GAN 有代码.pdf
├── 2015 (BN)Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf
├── 2015 Spatial Transformer Networks.pdf
├── 2015 Very Deep Convolutional Networks for Large-Scale Image Recognition.pdf
├── 2016DCGAN有代码Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.pdf
├── 2016 会议有代码Deep ADMM Net-for CS MRI.pdf
├── 2017 BEGAN有代码 Boundary Equilibrium Generative Adversarial Networks.pdf
├── 2017 Deep Convolutional Neural Network for Inverse Problems in Imaging.pdf
├── 2017DenseNet 有代码 Densely Connected Convolutional Networks.pdf
├── 2017 Generative Adversarial Networks for Noise Reduction in Low-Dose CT.pdf
├── 2017 Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.pdf
├── 2017 LSGAN有代码Least Squares Generative Adversarial Networks.pdf
├── 2017 Residual Attention Network for Image Classification.pdf
├── 2017 WGAN-GP有代码Improved Training of Wasserstein GANs.pdf
├── 2017 WGAN 有代码.pdf
├── 2018A Sparse-View CT Reconstruction Method Based on Combination of DenseNet and Deconvolution..pdf
├── 2018DAGAN有代码 Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.pdf
├── 2018 Image Super-Resolution Using Very Deep residual channel attention networks.pdf
├── 2018 Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss.pdf
└── 2018 Moiré Photo Restoration Using Multiresolution Convolutional Neural Networks.pdf

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