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  2. DeepFace - Wikipedia

    en.wikipedia.org/wiki/DeepFace

    The input is an RGB image of the face, scaled to resolution , and the output is a real vector of dimension 4096, being the feature vector of the face image. In the 2014 paper, [ 13 ] an additional fully connected layer is added at the end to classify the face image into one of 4030 possible persons that the network had seen during training time.

  3. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    In January 2023, ITVX released the series Deep Fake Neighbour Wars, in which various celebrities were played by actors experiencing inane conflicts, the celebrity's face deepfaked onto them. [ 280 ] In October 2023, Tom Hanks shared a photo of an apparent deepfake likeness depicting him promoting "some dental plan" to his Instagram page.

  4. FaceNet - Wikipedia

    en.wikipedia.org/wiki/FaceNet

    The system uses a deep convolutional neural network to learn a mapping (also called an embedding) from a set of face images to a 128-dimensional Euclidean space, and assesses the similarity between faces based on the square of the Euclidean distance between the images' corresponding normalized vectors in the 128-dimensional Euclidean space.

  5. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    [64] [65] Released in 2022 on Hugging Face's Spaces platform, Craiyon (formerly DALL-E Mini until a name change was requested by OpenAI in June 2022) is an AI model based on the original DALL-E that was trained on unfiltered data from the Internet. It attracted substantial media attention in mid-2022, after its release due to its capacity for ...

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  7. Hugging Face - Wikipedia

    en.wikipedia.org/wiki/Hugging_Face

    On September 23, 2024, to further the International Decade of Indigenous Languages, Hugging Face teamed up with Meta and UNESCO to launch a new online language translator [14] built on Meta's No Language Left Behind open-source AI model, enabling free text translation across 200 languages, including many low-resource languages.

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  9. Eigenface - Wikipedia

    en.wikipedia.org/wiki/Eigenface

    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% from eigenface 3. Remarkably, it does not take many eigenfaces combined together to achieve a fair approximation of most faces.