A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

3 stars 0 forks 3 watchers Python Apache License 2.0
dcgan dcgan-pytorch gan generative-adversarial-network heroku pil pytorch pytorch-gan streamlit-webapp wgan-gp
3 Open Issues Need Help Last updated: Aug 12, 2025

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good first issue

A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

Python
#dcgan#dcgan-pytorch#gan#generative-adversarial-network#heroku#pil#pytorch#pytorch-gan#streamlit-webapp#wgan-gp
good first issue

A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

Python
#dcgan#dcgan-pytorch#gan#generative-adversarial-network#heroku#pil#pytorch#pytorch-gan#streamlit-webapp#wgan-gp

AI Summary: The project involves a web application that generates Albrecht Dürer-style paintings using a WGAN-GP model. The issue requests help with an unspecified problem in the authentication system, described in seemingly random Latin words. The task requires debugging and fixing the authentication system based on the cryptic description provided in the issue.

Complexity: 4/5
help wanted

A web-app based on Wasserstein Generative Adversarial Network architecture with GP that generates multiple realistic paintings, trained on 8k Albrecht Dürer's paintings, includes super-res mode.

Python
#dcgan#dcgan-pytorch#gan#generative-adversarial-network#heroku#pil#pytorch#pytorch-gan#streamlit-webapp#wgan-gp