It involves transforming the external elements of an image, such as its color, medium, or form, while preserving its constitutive elements. Source 2: “Generating Synthetic Space Allocation Probability Layouts Based on Trained Conditional-GANs” 3. An example of semantic image-to-photo translation.
Due to its facilitative role in making diagnoses, this application is useful for the healthcare sector.įigure 2. Semantic Image-to-Photo Translationīased on a semantic image or sketch, it is possible to produce a realistic version of an image (See Figure 2). This AI-generated image was produced based on the text description of “Teddy bears shopping for groceries in ukiyo-e style”. An image generator, for example, can help a graphic designer create whatever image they need (See Figure 1).įigure 1. It is also possible to use these visual materials for commercial purposes that make AI-generated image creation a useful element in media, design, advertisement, marketing, education, etc. Therefore, it is possible to generate the needed visual material in a quick and simple manner.
With generative AI, users can transform text into images and generate realistic images based on a setting, subject, style, or location that they specify. General Applications of Generative AI > Visual Applications 1. prediction or classification), read our list of AI applications. For other applications of AI for requests where there is a single correct answer (e.g. We focused on real-world applications with examples but given how novel this technology is, some of these are potential use cases.
In this article, we have gathered the top 70+ generative AI applications that can be used in general or for industry-specific purposes.
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