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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that 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. In 2022, the output of state-of-the-art text-to ...
Format Compression algorithm Raster/ vector Maximum Color depth. Indexed color Trans-parency. Meta-data. Inter-lacing. Multi-page Anima-tion Layers Color manage-ment
Original image, with good text edges and color grade. Loss of edge clarity and tone "fuzziness" in heavy JPEG compression. A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression. Lossy data compression involves discarding some of the media's ...
Image file format. An image file format is a file format for a digital image. There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed. If the data is compressed, it may be done so using lossy ...
The rise of AI-generated images is eroding public trust in online information, a leading fact-checking group has warned. Full Fact said the increase in misleading images circulating online – and ...
Image compression. Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other ...
JPEG. JPEG (/ ˈdʒeɪpɛɡ / JAY-peg, short for Joint Photographic Experts Group) [2] is a commonly used method of lossy compression for digital images, particularly for those images produced by digital photography. The degree of compression can be adjusted, allowing a selectable tradeoff between storage size and image quality.
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [2]It was first released with its 0.1 model on August 22, 2023, [3] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.