In addition to the production of unique works of art, artificial intelligence-based research techniques have been developed to quantitatively assess digital art collections. The extensive digitization of artwork over the past few decades has made this possible. Although accessibility and exploration of these collections were the primary goals of digitalization, the use of AI in their analysis has opened up new study horizons.
The basic methods for analysing digitised art use two computing techniques: close reading and distant seeing.
Close reading focuses on particular visual facets of a single work. Analyzing brushstrokes or textural qualities, as well as computational artist authentication, are among activities carried out by machines in close reading techniques. On the other hand, using remote viewing techniques, the similarity throughout an entire
There are many creative tools available that can be used to generate AI art. Here is a brief overview of some popular ones:
1. Deep Dream Generator
Convolutional neural networks are employed by the Deep Dream Generator, an online tool, to produce surreal and abstract visuals. It works by identifying and enhancing patterns in the image to create a unique and trippy result. You can play around with different parameters to control the level of abstraction and trippiness of the generated image.
2. Pikazo
An application that uses AI to create artistic renditions of your images. It offers a wide range of styles, from impressionist to cubist, and allows you to fine-tune the result with different parameters. You can choose from pre-defined styles or create your own custom style using a reference image.
3. ART-DCGAN
Creates art using deep convolutional generative adversarial networks (DCGANs).A DCGAN is a type of deep learning architecture that uses two neural networks, a generator and a discriminator, to generate new images that are similar to a training set. With ART-DCGAN, you can generate art in a variety of styles and styles can also be combined to create new styles..
4. Generative Adversarial Networks (GANs)
A deep learning architecture called Generative Adversarial Networks (GANs) is capable of producing a variety of media, including photographs, movies, music, and more .They work by training a generator neural network to generate new data that is similar to a training set, while a discriminator network tries to distinguish the generated data from the real data. Over time, the generator improves and is able to generate more and more realistic data.
5. PaintChainer
An AI programme called PaintsChainer can create drawings in the style of anime from text descriptions .It was trained on a large dataset of anime images and character descriptions, allowing it to generate new images based on your input. You simply need to provide a description of the character you want to generate, and the tool will do the rest.
6. Neural Style Transfer
An AI method for transferring an image’s style to another to produce distinctive and stylized visuals .The process works by identifying the style elements of one image and applying them to another image to create a new, stylized result. The result is a combination of the content of one image and the style of another.
7. RunwayML
A platform for exploring and experimenting with AI technologies by designers, artists, and developers .It offers a wide range of AI models and tools, including object detection, style transfer, and generative models, that you can use to create your own AI-generated art. It also offers a community for sharing and discovering new AI models and projects.
8. DALL-E
A program that creates fresh images from textual descriptions. It was trained on a large dataset of images and captions, allowing it to generate new, unique images based on your input. Simply provide a description of the image you want to generate, and DALL-E will do the rest.
9. AI Dungeon
AI is used in the text-based adventure game AI Dungeon to instantly create fresh plots and characters.
10. Google AutoDraw
is an artificial intelligence tool that can transform your sketches into polished illustrations .Simply draw a rough sketch, and AutoDraw will suggest the most appropriate illustration to match your drawing.
11. Neural Designer
It is a deep learning tool with a variety of uses, such as image recognition and generative art .It offers an intuitive interface and a variety of pre-trained models, making it easy for even non-experts to use.
12. BigGAN
A generative adversarial network (GAN) with a large-scale that can produce high-resolution images. It includes a number of incremental changes and innovations. The baseline and incremental changes are: Using SAGAN as a baseline with spectral norm.
13. Artbreeder
An AI software called Artbreeder lets you develop fresh visuals and artistic approaches. Artbreeder offers a wide array of stock photos for editing. However, users have the option of uploading their own base photos for art generation. Users alter the values of different parameters and properties of an image.
14. DeOldify
It is an AI programme that can colorize films and photographs that are in black and white .It was developed by Jason Antic. Decodify uses GAN architecture to colorize the image.
15. The Art Heist
It is an AI game that tests your ability to use forgeries created by the AI to steal a work of art.
16. Latent space
A tool for examining and modifying the latent spaces of generative models is called latent space.
17. CANs
They are a sort of GAN that concentrate on producing artistic output, such as music, paintings, and other forms of visual and performing arts.
18. StyleGan2-ADA
An AI technique called StyleGan2-ADA can produce excellent, lifelike photographs of faces.The most classic example of this is the made-up faces that StyleGAN2 is often used to generate.
19. Magenta
A Google research initiative that examines the application of machine learning to the production of music and art.
20. Claude AI
An AI programme called Claude AI can transform your images into works of art inspired by Claude Monet. Claude’ is a large language model assistant which is claimed to give tough competition to OpenAI’s ChatGPT. The company is focused on understanding and developing safe AI systems, utilizing a unique approach known as “constitutional AI”.
21. Adain
An AI tool that can instantly change the look of one image to another. The AdaIN style transfer method is an arbitrary style transfer method, meaning it trains on a set of images to “remember” styles so that it can apply an arbitrary style to an image after it is trained.
22. Image2StyleGAN
An AI programme called Image2StyleGAN can create photos in the desired style. It is an optimization algorithm that aims to map an image into the latent space of a pre-trained StyleGAN
23. GauGAN
An AI programme that can transform your sketches into lifelike pictures. It is an AI demo for photorealistic image generation, allows anyone to create stunning landscapes using generative adversarial networks. Named after post-Impressionist painter Paul Gauguin, it was created by NVIDIA Research and can be experienced free through NVIDIA AI Demos.
24. Neural Doodle
It is an AI tool that may apply an image’s style to another to get a distinctive, stylistic output. This project is an implementation of Semantic Style Transfer (Champandard, 2016), based on the Neural Patches algorithm (Li, 2016)
25. Neural Painter
An AI programme called Neural Painter may create new images depending on a style you specify.Neural Painters is a class of models that follows a GAN framework to generate brushstrokes, which are then composed to create paintings. GANs are great generative models for AI Art but they are known to be notoriously difficult to train
26. Prisma
It is an AI programme that can transform your images into artistic creations in the vein of well-known painters.It is an evidence-based minimum set of items for reporting in systematic reviews and meta-analyses. The PRISMA statement consists of a 27-item checklist and a 4-phase flow diagram.
27. Artiscope
Using artificial intelligence (AI), you may discover and create new visual trends on Artiscope. Create your own trends here.
28. Deep Dreaming
A method for employing deep neural networks to produce abstract, hallucinogenic pictures. DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream-like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images
29. DeepNude
A contentious AI programme that can strip individuals of their clothing. Cybercriminals use Artificial Intelligence (AI) software — now easily available on apps and websites — to superimpose a digital composite (assembling multiple media files to make a final one) on to an existing video, photo or audio.
30. Deep Face Lab
An AI technology called DeepFaceLab can change the looks of individuals in pictures and videos. DeepFaceLab will detect faces in the images, determine face landmarks, generate a default mask, align the faces, and output a file for each detected face including embedded metadata.
31. Deepfake
An AI technique called Deepfake can be used to create fake films of people acting and saying things they have never done. Deep fake (also spelled deepfake) is a type of artificial intelligence used to create convincing images, audio and video hoaxes.
32. Dreamscope
It is an AI programmer that can create dreamlike landscapes from your images. Dreamscope It is an AI programmer that can create dreamlike landscapes from your images.
33. ArtFlow
It is an AI programme that can create digital artworks from your images.Convert your device into a digital sketchbook with more than 80 paint brushes, smudge, fill and an eraser tool. This fast and intuitive painting and drawing application will unlock the full power of your imagination.
34. Dreamcam
An AI programme called Dreamcam can create animated, dream-like sequences from your images.
35. Artbreeder
It is an AI platform that allows you to create and evolve new images and art styles. It uses a combination of generative adversarial networks (GANs) and genetic algorithms to generate new images and styles based on your inputs.
The aforementioned apps, programmed, and tools are a terrific place to start if you’re interested in incorporating AI into your creative practice. Even if you have no prior expertise with machine learning, you may start with some of the more basic technologies and work your way up from there.
Use Deep Art, a Deep Dream Generator, Artbreeder (also known as GANBreeder), AI Painter, Cartoonify, or Quick Draw to create artificial neural networks for your drawings. You can also use Deep Art to edit AI photos.
AI artworks will become more deeply ingrained in our culture as means for creating it become more accessible. Pop album covers, traditional art gallery walls, digital and pixel art are all examples of where we can already see it.
