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  2. List of 2D animation software - Wikipedia

    en.wikipedia.org/wiki/List_of_2D_animation_software

    Name Latest stable release Developer License Operating system or environment Construct Animate (software) 26 March 2024: Scirra Trialware: Web application

  3. Adobe Character Animator - Wikipedia

    en.wikipedia.org/wiki/Adobe_Character_Animator

    Adobe Character Animator is a desktop application software product that combines real-time live motion-capture with a multi-track recording system to control layered 2D puppets based on an illustration drawn in Photoshop or Illustrator.

  4. Generative artificial intelligence - Wikipedia

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

    In March 2020, 15.ai, created by an anonymous MIT researcher, was a free web application that could generate convincing character voices using minimal training data. [42] The platform is credited as the first mainstream service to popularize AI voice cloning ( audio deepfakes ) in memes and content creation , influencing subsequent developments ...

  5. Pencil2D - Wikipedia

    en.wikipedia.org/wiki/Pencil2D

    Pencil2D is a free and open-source 2D animation software for Windows, macOS, and Unix-like operating systems. It is released under the GNU General Public License and uses the Qt framework . It is used for making cartoons using traditional techniques (tracing drawings, onion skinning , etc), managing vector and bitmap drawings.

  6. MakeHuman - Wikipedia

    en.wikipedia.org/wiki/MakeHuman

    MakeHuman is a free and open source 3D computer graphics middleware designed for the prototyping of photorealistic humanoids. It is developed by a community of programmers, artists, and academics interested in 3D character modeling .

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  9. DeepDream - Wikipedia

    en.wikipedia.org/wiki/DeepDream

    The software is designed to detect faces and other patterns in images, with the aim of automatically classifying images. [10] However, once trained, the network can also be run in reverse, being asked to adjust the original image slightly so that a given output neuron (e.g. the one for faces or certain animals) yields a higher confidence score.