Image generation models
Image generation models have made significant advancements in recent years.
These models can create stunning and imaginative visual content based on textual prompts. Here are a few notable ones:
DALL·E
Developed by OpenAI, DALL·E is an image generation model that can create original images from natural language descriptions.
It can generate novel and surreal visuals based on textual prompts, even for abstract concepts.
For example, if you describe a “giraffe made of watermelon slices,” DALL·E can create an image that matches that description.
StyleGAN and StyleGAN2
These models are known for their ability to generate high-quality, realistic images.
They can create photorealistic faces, landscapes, and even fictional creatures.
StyleGAN2, in particular, has been used to generate impressive artwork and deepfake images.
Pix2Pix and CycleGAN
These models focus on image-to-image translation.
Pix2Pix can transform sketches into detailed images, convert black-and-white photos to colour, and more.
CycleGAN can perform style transfer, turning photos into the artistic style of famous painters.
BigGAN
BigGAN is a large-scale generative model that can generate high-resolution images.
It has been trained on a diverse range of image categories, making it versatile for various tasks.
Deep Dream
Although not a standalone model, Deep Dream is an interesting technique developed by Google.
It enhances and distorts existing images by amplifying patterns and textures.
It creates dream-like, psychedelic visuals.