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2. Let's Enhance - Wikipedia

   en.wikipedia.org/wiki/Let's_Enhance

   Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of real ...

3. Digital cloning - Wikipedia

   en.wikipedia.org/wiki/Digital_cloning

   In AV cloning, the creation of a cloned digital version of the digital or non-digital original can be used, for example, to create a fake image, an avatar, or a fake video or audio of a person that cannot be easily differentiated from the real person it is purported to represent. A memory and personality clone like a mindclone is essentially a ...

4. Synthetic media - Wikipedia

   en.wikipedia.org/wiki/Synthetic_media

   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 ...

5. AOL.com - News, Sports, Weather, Entertainment, Local & Lifestyle

   www.aol.com

   AOL latest headlines, entertainment, sports, articles for business, health and world news.

6. Human image synthesis - Wikipedia

   en.wikipedia.org/wiki/Human_image_synthesis

   [36] [34] Some facial-recognition AI use images generated by other AI as synthetic data for training. [ 37 ] Furthermore, some research suggests that it can have therapeutic effects as " psychologists and counselors have also begun using avatars to deliver therapy to clients who have phobias , a history of trauma , addictions, Asperger’s ...

7. Text-to-image model - Wikipedia

   en.wikipedia.org/wiki/Text-to-image_model

   An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.