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  2. How to Find Your Face Shape in 4 Easy Steps - AOL

    www.aol.com/face-shape-4-easy-steps-133116327.html

    To figure out your face shape, you’ll need to assess a few key points: your forehead, your cheeks, your jawline and the overall length of your face. Keep reading for four steps you should consider:

  3. 3D Face Morphable Model - Wikipedia

    en.wikipedia.org/wiki/3D_Face_Morphable_Model

    In computer vision and computer graphics, the 3D Face Morphable Model (3DFMM) is a generative technique for modeling textured 3D faces. [1] The generation of new faces is based on a pre-existing database of example faces acquired through a 3D scanning procedure.

  4. Your Definitive Guide for How to Find Your Face Shape - AOL

    www.aol.com/definitive-guide-face-shape...

    4. Square Face Shape: Zendaya. Key characteristics: Your forehead and cheekbones are about the same width (similar to a round face), but you have a stronger jawline with sharp angles.

  5. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E was revealed by OpenAI in a blog post on 5 January 2021, and uses a version of GPT-3 [5] modified to generate images.. On 6 April 2022, OpenAI announced DALL-E 2, a successor designed to generate more realistic images at higher resolutions that "can combine concepts, attributes, and styles". [6]

  6. Quick, Draw! - Wikipedia

    en.wikipedia.org/wiki/Quick,_Draw!

    Quick, Draw! is an online guessing game developed and published by Google LLC that challenges players to draw a picture of an object or idea and then uses a neural network artificial intelligence to guess what the drawings represent. [2] [3] [4] The AI learns from each drawing, improving its ability to guess correctly in the future. [3]

  7. Pictionary - Wikipedia

    en.wikipedia.org/wiki/Pictionary

    The drawer chooses a card out of a deck of special Pictionary cards and tries to draw pictures which suggest the word printed on the card. The pictures cannot contain any numbers or letters, nor can the drawers use spoken clues about the subjects they are drawing. The teammates try to guess the word the drawing is intended to represent.

  8. 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.

  9. Morphing - Wikipedia

    en.wikipedia.org/wiki/Morphing

    For example, one would morph one face into another by marking key points on the first face, such as the contour of the nose or location of an eye, and mark where these same points existed on the second face. The computer would then distort the first face to have the shape of the second face at the same time that it faded the two faces.