Chinese Landscape Painting Generation
2 papers with code • 0 benchmarks • 1 datasets
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Most implemented papers
End-to-End Chinese Landscape Painting Creation Using Generative Adversarial Networks
Current GAN-based art generation methods produce unoriginal artwork due to their dependence on conditional input.
CCLAP: Controllable Chinese Landscape Painting Generation via Latent Diffusion Model
While the style aggregator module is to generate paintings of a style corresponding to a reference image.