Deep-Generative-Models-2D-Toy-Examples

This is an comparison of different deep generative model for 2D samples generation, including Denoising Diffusion Probabilistic Models, Generative Adversarial Networks and Variational Auto-Encoder.

Results

Model	GAN	VAE	Diffusion
25 Gaussian

Name		Name	Last commit message	Last commit date
Latest commit History 24 Commits
__pycache__		__pycache__
dataset		dataset
log/diffusion		log/diffusion
model		model
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
config_diffusion.yaml		config_diffusion.yaml
config_gan.yaml		config_gan.yaml
config_vae.yaml		config_vae.yaml
test_diffusion.py		test_diffusion.py
train_diffusion.py		train_diffusion.py
train_gan.py		train_gan.py
train_vae.py		train_vae.py
utils.py		utils.py