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  2. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    DeepFace is a deep learning facial recognition system created by a research group at Facebook.It identifies human faces in digital images. The program employs a nine-layer neural network with over 120 million connection weights and was trained on four million images uploaded by Facebook users.

  3. Ideogram (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Ideogram_(text-to-image_model)

    Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.

  4. Artisse AI - Wikipedia

    en.wikipedia.org/wiki/Artisse_AI

    Artisse AI is a personal photography application that uses AI to transform selfies into high-quality, personalized images. [ 1 ] [ 2 ] The app allows users to visualize themselves in various scenarios, outfits , and hairstyles , and they can adjust lighting and ambiance to match their preferences.

  5. How To Find a Facebook Profile from Just a Picture - AOL

    www.aol.com/facebook-profile-just-picture...

    Search for the ID on Facebook. ... or provide context for helping you identify the person in the photo. 6. Follow the Links. If you see a link that looks promising, click on it to see if you can ...

  6. Meta AI - Wikipedia

    en.wikipedia.org/wiki/Meta_AI

    Meta AI (formerly Facebook Artificial Intelligence Research) is a research division of Meta Platforms (formerly Facebook) that develops artificial intelligence and augmented and artificial reality technologies. Meta AI deems itself an academic research laboratory, focused on generating knowledge for the AI community, and should not be confused ...

  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.