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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

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

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

Generative Adversarial Networks – Paper Reading Road Map - KDnuggets
Generative Adversarial Networks – Paper Reading Road Map - KDnuggets

Must-Read Papers on GANs. Generative Adversarial Networks are one… | by Connor Shorten | Towards Data Science
Must-Read Papers on GANs. Generative Adversarial Networks are one… | by Connor Shorten | Towards Data Science

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

Overview of GANs - Part I | Zak Jost
Overview of GANs - Part I | Zak Jost

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

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

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" /

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

New paper: Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales | Urban Analytics Lab | Singapore
New paper: Generative Adversarial Networks in the built environment: A comprehensive review of the application of GANs across data types and scales | Urban Analytics Lab | Singapore

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

TrIVD-GAN Explained | Papers With Code
TrIVD-GAN Explained | Papers With Code

GAN paper reading Adam
GAN paper reading Adam

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

Casual GAN Papers: ViTGAN Explained
Casual GAN Papers: ViTGAN Explained

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

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

python - Implementation of the paper 'Perceptual Generative Adversarial Nets for small object detection' - Data Science Stack Exchange
python - Implementation of the paper 'Perceptual Generative Adversarial Nets for small object detection' - Data Science Stack Exchange

machine learning - Gan paper: sampling the distribution - Data Science Stack Exchange
machine learning - Gan paper: sampling the distribution - Data Science Stack Exchange

Must-Read Papers on GANs. Generative Adversarial Networks are one… | by Connor Shorten | Towards Data Science
Must-Read Papers on GANs. Generative Adversarial Networks are one… | by Connor Shorten | Towards Data Science

tensorflow - How to implement skip connections from MSG-GAN paper - Stack Overflow
tensorflow - How to implement skip connections from MSG-GAN paper - Stack Overflow