LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2
TensorFlow 2 reimplementation of DCGAN, LSGAN, WGAN-GP, and DRAGAN for generating images.
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This repository provides TensorFlow 2 implementations of four generative adversarial network variants: DCGAN (Deep Convolutional GAN), LSGAN (Least Squares GAN), WGAN-GP (Wasserstein GAN with gradient penalty), and DRAGAN (Deep Regret Analytic GAN). These models are trained on datasets like Fashion-MNIST, CelebA, and anime faces to generate synthetic images. The project serves as a reference implementation for researchers and developers looking to experiment with different GAN training objectives and architectures.
Frequently asked
- What is LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2?
- TensorFlow 2 reimplementation of DCGAN, LSGAN, WGAN-GP, and DRAGAN for generating images.
- Is DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 open source?
- Yes — LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 is open source, released under the MIT license.
- What language is DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 written in?
- LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 is primarily written in Python.
- How popular is DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2?
- LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 has 424 stars on GitHub.
- Where can I find DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2?
- LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2 is on GitHub at https://github.com/LynnHo/DCGAN-LSGAN-WGAN-GP-DRAGAN-Tensorflow-2.