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  2. FaceGen - Wikipedia

    en.wikipedia.org/wiki/FaceGen

    These allow the user to create, edit, load and save files in the program's proprietary ".fg" format. The free version features the same functionality of the paid version, except that a logo is placed on the forehead of models that are generated and only a few additional assets like hairstyles and beards are provided.

  3. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data.

  4. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

  5. Procedural generation - Wikipedia

    en.wikipedia.org/wiki/Procedural_generation

    In computer graphics, it is commonly used to create textures and 3D models. In video games, it is used to automatically create large amounts of content in a game. Depending on the implementation, advantages of procedural generation can include smaller file sizes, larger amounts of content, and randomness for less predictable gameplay.

  6. Comparison of 3D computer graphics software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_3D_computer...

    2D/3D toon Animation, Lighting, Modeling, Node based Material Creation / Texturing / 3D Texture Painting/ UV Mapping, Rendering (Internal, External, 3D Anaglyph and VR), 3D Rigging and Animation, Sculpting, Visual 3D Effects, Basic Post-Production Video Editing, Motion Tracking, Python Scripting, Fluid Simulation, Particles, Physics, Compositing

  7. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL-E, DALL-E 2, and DALL-E 3 (stylised DALL·E, and pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as prompts. The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.

  8. Wikipedia : Guide for creating 3D models for Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Guide_for...

    Using free programs that are simple to use, well documented and don’t need a fast computer or special equipment to run accurate 3d models can be generated. A higher resolution (10MP+) is helpful although it is dependent on contrast of images and number of images taken. There are two sorts of 3d model that can be created using free software:

  9. Computer-generated imagery - Wikipedia

    en.wikipedia.org/wiki/Computer-generated_imagery

    Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to-image models—such as OpenAI's DALL-E 2 , Google Brain 's Imagen , Stability AI's Stable Diffusion , and Midjourney —began to be considered to ...

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