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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]
This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons. Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art. In recent times, graphical icons, both static and animated, have joined the traditional text-based emoticons; these are commonly known as ...
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 ...
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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 ...
Active appearance model. An active appearance model (AAM) is a computer vision algorithm for matching a statistical model of object shape and appearance to a new image. They are built during a training phase. A set of images, together with coordinates of landmarks that appear in all of the images, is provided to the training supervisor.
Face of the Future was a project established in 2005 by the University of St Andrews and Perception Lab, funded by the EPSRC. The website contained "Face Transformer", which enables users to transform their face into any ethnicity and age as well as the ability to transform their face into a painting (in the style of either Sandro Botticelli or ...
Informally, eigenfaces can be considered a set of "standardized face ingredients", derived from statistical analysis of many pictures of faces. Any human face can be considered to be a combination of these standard faces. For example, one's face might be composed of the average face plus 10% from eigenface 1, 55% from eigenface 2, and even −3 ...