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✍️ Ai批改: You're interested in AI-generated art!

Here are some popular keywords and techniques related to AI-generated art:

Styles:

1、Neural Style Transfer: a technique that applies the style of one image to another.
2、Generative Art: art created using algorithms and machine learning models.
3、Deep Dream: a technique that uses a neural network to generate surreal and dreamlike images.
4、Fractal Art: art that uses mathematical equations to create self-similar patterns.

Tools and Software:

1、DeepArt: a platform that uses AI to generate art in various styles.
2、Prisma: an app that transforms photos into works of art in the style of famous artists.
3、Adobe Fresco: a drawing and painting app that uses AI to assist with creative tasks.
4、GANbreeder: a web-based tool for generating images using Generative Adversarial Networks (GANs).

Techniques:

1、Generative Adversarial Networks (GANs): a type of machine learning model that generates new images by competing with a discriminator model.
2、Neural Networks: computer systems inspired by the structure and function of the human brain, used for image generation and processing.
3、Evolutionary Algorithms: optimization techniques inspired by natural selection and evolution, used for generating art.

Artistic Applications:

1、Portrait Generation: AI-generated portraits of people, often in various artistic styles.
2、Landscape Generation: AI-generated landscapes, such as mountains, cities, or abstract environments.
3、Abstract Art: art that uses AI to generate non-representational, often colorful and dynamic, patterns and shapes.

Popular AI Art Models:

1、DALL-E: a text-to-image model that generates images from textual descriptions.
2、Midjourney: a model that generates images from textual prompts, often with a focus on artistic and imaginative outputs.
3、Stable Diffusion: a model that generates images from textual prompts, with a focus on realistic and detailed outputs.

These keywords should give you a good starting point for exploring the world of AI-generated art!