Researchers at Ludwig-Maximilian University Propose Text-Guided Synthesis of Artistic Images with Retrieval-Augmented Diffusion Models

The development of generative models for text-to-image synthesis has advanced significantly. Recently, these models have had wide success in the application in the field of AI-Art since it allows artists and designers to create images from descriptive text automatically with excellent visual quality.

Several works exist in the literature dealing with synthetic image generation. Although Generative Adversarial Networks (GAN) effectively sample high-resolution pictures with acceptable perceptual quality, they are challenging to tune and have trouble capturing the whole data distribution. …

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