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An autostereogram is a two-dimensional image that can create the optical illusion of a three-dimensional scene. Learn about the history, types, and viewing techniques of autostereograms, and how they differ from stereograms and random-dot stereograms.
DeepDream uses a convolutional neural network to find and enhance patterns in images, creating a dream-like appearance. Learn about the history, process, usage, and applications of this program, as well as its biological and artistic implications.
Steganography is the practice of representing information within another message or physical object, such that the presence of the concealed information would not be evident to an unsuspecting person's examination. Learn about the history, techniques, applications, and countermeasures of steganography in computing and other contexts.
DALL-E, DALL-E 2, and DALL-E 3 are deep learning models that generate images from natural language descriptions. They are based on GPT-3 and CLIP, and can create various styles, manipulate objects, and generate watermarks.
The first few of these hidden picture puzzles are Easter-themed. Eyewear company Feel Good Contacts challenges you to find the chick among the daffodils—and there are a whole lot of daffodils ...
A comprehensive list of visual illusions with examples and notes. Learn about different types of optical illusions, such as afterimage, ambiguous image, autostereogram, Ebbinghaus illusion, and more.
A rebus is a puzzle device that combines pictures and letters to form words or phrases. Learn about the origin and usage of rebuses in heraldry, word plays, writing systems, dreams and game shows.
Learn about text-to-image models, machine learning systems that generate images from natural language descriptions. Explore the history, architecture, datasets, and quality evaluation of these models, and see examples of their output.