cs-chan/ArtGAN
ArtGAN is a generative adversarial network for conditional fine-art painting and image synthesis.
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This repository contains implementations of ArtGAN, a GAN-based deep learning model for conditional image synthesis of artwork. It includes the refined WikiArt dataset, improved ArtGAN models from a TIP-19 publication on natural image and artwork synthesis, and an ICIP-16 paper on fine-art painting classification. The project provides code for training generative adversarial networks to produce fine-art style images.
Frequently asked
- What is cs-chan/ArtGAN?
- ArtGAN is a generative adversarial network for conditional fine-art painting and image synthesis.
- Is ArtGAN open source?
- Yes — cs-chan/ArtGAN is open source, released under the BSD-3-Clause license.
- What language is ArtGAN written in?
- cs-chan/ArtGAN is primarily written in Python.
- How popular is ArtGAN?
- cs-chan/ArtGAN has 430 stars on GitHub.
- Where can I find ArtGAN?
- cs-chan/ArtGAN is on GitHub at https://github.com/cs-chan/ArtGAN.