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StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, [1] and made source available in February 2019. [2][3] StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, [4] or Meta AI 's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN ...
Artbreeder. Artbreeder, formerly known as Ganbreeder, [4] is a collaborative, machine learning -based art website. Using the models StyleGAN and BigGAN, [4][5] the website allows users to generate and modify images of faces, landscapes, and paintings, among other categories. [6]
Human image synthesis is technology that can be applied to make believable and even photorealistic renditions [1] [2] of human-likenesses, moving or still. It has effectively existed since the early 2000s. Many films using computer generated imagery have featured synthetic images of human-like characters digitally composited onto the real or ...
Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...
A perpetual motion machine is a hypothetical machine that can do work indefinitely without an external energy source. This kind of machine is impossible, since its existence would violate the first and/or second laws of thermodynamics. [2][3][4][5] These laws of thermodynamics apply regardless of the size of the system.
This Man. This Man is a conceptual art project and hoax created by Italian sociologist and marketer Andrea Natella. In 2008, Natella created a website called "Ever Dream This Man?" describing a supposed mysterious individual who has reportedly appeared in the dreams of numerous people around the world since 2006.
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. [1][2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3] In a GAN, two neural networks contest with each other in the form of a zero-sum game, where one agent's gain ...
e. DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.