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  2. File:Mona Lisa, by Leonardo da Vinci, from C2RMF retouched ...

    en.wikipedia.org/wiki/File:Mona_Lisa,_by...

    This is a featured picture, which means that members of the community have identified it as one of the finest images on the English Wikipedia, adding significantly to its accompanying article. If you have a different image of similar quality, be sure to upload it using the proper free license tag, add it to a relevant article, and nominate it.

  3. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    He created this piece using 6,000 high-quality still images of John Travolta's face from several of his films released around the same time as Forrest Gump. Shamook, then, created a 180 degree facial profile that he fed into a machine learning piece of software (DeepFaceLab), along with Tom Hanks' face from Forrest Gump. [272]

  4. StyleGAN - Wikipedia

    en.wikipedia.org/wiki/StyleGAN

    The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020. It removes some of the characteristic artifacts and improves the image quality. [6] [7] Nvidia introduced StyleGAN3, described as an "alias-free" version, on June 23, 2021, and made source available on October 12, 2021. [8]

  5. List of image-sharing websites - Wikipedia

    en.wikipedia.org/wiki/List_of_image-sharing_websites

    Unlimited free storage, 1MB per photo and 10 minutes per video (with image size restrictions). No size restrictions with Pro account. Pinterest: United States Photo sharing/social networking 11,700,000 [22] Unknown Pixabay: Germany [23] Sharing of high-quality public domain photos. Free to browse and download, registration required to contribute.

  6. Lenna - Wikipedia

    en.wikipedia.org/wiki/Lenna

    They noted that aside from the copyright and ethical issues, that it was also no longer useful as a standard image: "In today's age of high-resolution digital image technology, it seems difficult to argue that a 512 × 512 image produced with a 1970s-era analog scanner is the best we have to offer as an image quality test standard".

  7. 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.

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