Deep image is a term coined by U.S. poets Jerome Rothenberg and Robert Kelly in the second issue of the magazine Trobar in 1961. They used the term to...

Deep image prior is a type of convolutional neural network used to enhance a given image with no prior training data other than the image itself. A neural...

Deep image compositing is a way of compositing and rendering digital images that emerged in the mid-2010s. In addition to the usual color and opacity...

the image contains a face. Importantly, a deep learning process can learn which features to optimally place at which level on its own. Prior to deep learning...

The Hubble Deep Field (HDF) is an image of a small region in the constellation Ursa Major, constructed from a series of observations by the Hubble Space...

In the context of the World Wide Web, deep linking is the use of a hyperlink that links to a specific, generally searchable or indexed, piece of web content...

deliberately overprocessed images. Google's program popularized the term (deep) "dreaming" to refer to the generation of images that produce desired activations...

The Hubble Ultra-Deep Field (HUDF) is a deep-field image of a small region of space in the constellation Fornax, containing an estimated 10,000 galaxies...

In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also...

description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks...