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  2. Generative art - Wikipedia

    en.wikipedia.org/wiki/Generative_art

    Generative art is post ... 1 These activities have more recently been joined by the Generator.x conference ... Generative Art is the idea realized as genetic code of ...

  3. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Producing high-quality visual art is a prominent application of generative AI. [65] Generative AI systems trained on sets of images with text captions include Imagen , DALL-E , Midjourney , Adobe Firefly , FLUX.1 , Stable Diffusion and others (see Artificial intelligence art , Generative art , and Synthetic media ).

  4. Creativity techniques - Wikipedia

    en.wikipedia.org/wiki/Creativity_techniques

    Creativity techniques are methods that encourage creative actions, whether in the arts or sciences. They focus on a variety of aspects of creativity, including techniques for idea generation and divergent thinking, methods of re-framing problems, changes in the affective environment and so on.

  5. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. [46] Unlike previous algorithmic art that followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images. [12]

  6. How 'The Idea of You' Created Solène's Art Gallery

    www.aol.com/idea-created-sol-nes-art-153000927.html

    "Hearst Magazines and Yahoo may earn commission or revenue on some items through these links." In The Idea of You, Anne Hathaway stars as Solène, a 40-year-old divorcée who runs her own art ...

  7. Generative adversarial network - Wikipedia

    en.wikipedia.org/wiki/Generative_adversarial_network

    The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell how "realistic" the input seems, which itself is also being updated dynamically. [5] This means that the generator is not trained to minimize the distance to a specific image, but rather to fool the discriminator.