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Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN) | Semantic Scholar
Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN) | Semantic Scholar

Guang Yang on X: "Check our new paper on #transformers and #gan based #fastmri that will be published by #ieee #embc2022 Pre-print #paper is here: https://t.co/8bjB0gjNNz #opensource codes: https://t.co/2Tu8fCdxRh See you all
Guang Yang on X: "Check our new paper on #transformers and #gan based #fastmri that will be published by #ieee #embc2022 Pre-print #paper is here: https://t.co/8bjB0gjNNz #opensource codes: https://t.co/2Tu8fCdxRh See you all

DVD-GAN Explained | Papers With Code
DVD-GAN Explained | Papers With Code

GT-GAN: A General Transductive Zero-Shot Learning Method Based on GAN | Semantic Scholar
GT-GAN: A General Transductive Zero-Shot Learning Method Based on GAN | Semantic Scholar

PDF] Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder | Semantic Scholar
PDF] Unbalanced GANs: Pre-training the Generator of Generative Adversarial Network using Variational Autoencoder | Semantic Scholar

GitHub - ddehueck/pytorch-GAN: PyTorch implementation of the original GAN paper by Goodfellow et al.
GitHub - ddehueck/pytorch-GAN: PyTorch implementation of the original GAN paper by Goodfellow et al.

Get Started: DCGAN for Fashion-MNIST - PyImageSearch
Get Started: DCGAN for Fashion-MNIST - PyImageSearch

HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
HiFi-GAN: High-Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

The GAN architecture schematized from Goodfellow et al. (2014); Radford... | Download Scientific Diagram
The GAN architecture schematized from Goodfellow et al. (2014); Radford... | Download Scientific Diagram

GAN paper reading Adam
GAN paper reading Adam

Generative adversarial network: An overview of theory and applications - ScienceDirect
Generative adversarial network: An overview of theory and applications - ScienceDirect

Figure 1 from Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition | Semantic Scholar
Figure 1 from Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition | Semantic Scholar

Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials | npj Computational Materials

GAN Papers to Read in 2020. Reading suggestions on Generative… | by Ygor Serpa | Towards Data Science
GAN Papers to Read in 2020. Reading suggestions on Generative… | by Ygor Serpa | Towards Data Science

GAN — Generative Adversarial Nets. | by Sai Raj Reddy | Medium
GAN — Generative Adversarial Nets. | by Sai Raj Reddy | Medium

Classic] Generative Adversarial Networks (Paper Explained) - YouTube
Classic] Generative Adversarial Networks (Paper Explained) - YouTube

PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator | Semantic Scholar
PeerGAN: Generative Adversarial Networks with a Competing Peer Discriminator | Semantic Scholar

Using a Generative Adversarial Network (GAN) to Create Novel Artistic Images | by Aakash Pydi | Towards Data Science
Using a Generative Adversarial Network (GAN) to Create Novel Artistic Images | by Aakash Pydi | Towards Data Science

SAGAN Explained | Papers With Code
SAGAN Explained | Papers With Code

DCGAN Explained | Papers With Code
DCGAN Explained | Papers With Code

Synthetic Time-Series Data: A GAN approach | by Fabiana Clemente | Towards Data Science
Synthetic Time-Series Data: A GAN approach | by Fabiana Clemente | Towards Data Science

A Gentle Introduction to Generative Adversarial Networks (GANs) - MachineLearningMastery.com
A Gentle Introduction to Generative Adversarial Networks (GANs) - MachineLearningMastery.com

U-Net GAN Explained | Papers With Code
U-Net GAN Explained | Papers With Code

7 Generative Adversarial Networks | The Mathematical Engineering of Deep Learning (2021)
7 Generative Adversarial Networks | The Mathematical Engineering of Deep Learning (2021)

Sebastian Raschka on X: "Have you seen the StudioGAN paper? 🤩 Probably THE reference that concludes the GAN chapter (before the world moves on to Diffusion Models). Paper: https://t.co/nFnGuCqmua Code: https://t.co/AzwNCctIVP https://t.co/KNK01S7L4F" /
Sebastian Raschka on X: "Have you seen the StudioGAN paper? 🤩 Probably THE reference that concludes the GAN chapter (before the world moves on to Diffusion Models). Paper: https://t.co/nFnGuCqmua Code: https://t.co/AzwNCctIVP https://t.co/KNK01S7L4F" /