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  2. Krita - Wikipedia

    en.wikipedia.org/wiki/Krita

    In years between 2004 and 2009, Krita was developed as a generic image manipulation software like Photoshop and GIMP. A change of direction happened to the project in 2009, with a new goal of becoming digital painting software like Corel Painter and SAI.

  3. Inkscape - Wikipedia

    en.wikipedia.org/wiki/Inkscape

    Embedding and optional tracing of raster graphics is also supported, enabling the editor to create vector graphics from photos and other raster sources. Created shapes can be further manipulated with transformations, such as moving, rotating, scaling and skewing.

  4. Comparison of vector graphics editors - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_vector...

    SVG-edit is a FOSS web-based, JavaScript-driven SVG editor that works in any modern browser. Synfig Studio (also known as Synfig) is a free and open-source 2D vector graphics and timeline-based computer animation program created by Robert Quattlebaum. Synfig is available for Linux, Windows, macOS.

  5. Vector graphics - Wikipedia

    en.wikipedia.org/wiki/Vector_graphics

    Vector graphics are a form of computer graphics in which visual images are created directly from geometric shapes defined on a Cartesian plane, such as points, lines, curves and polygons.

  6. GIMP - Wikipedia

    en.wikipedia.org/wiki/GIMP

    GNU Image Manipulation Program, commonly known by its acronym GIMP (/ ɡ ɪ m p / GHIMP), is a free and open-source raster graphics editor used for image manipulation (retouching) and image editing, free-form drawing, transcoding between different image file formats, and more specialized tasks. It is extensible by means of plugins, and scriptable.

  7. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    The GAN uses a "generator" to create new images and a "discriminator" to decide which created images are considered successful. Unlike previous algorithmic art which followed hand-coded rules, generative adversarial networks could learn a specific aesthetic by analyzing a dataset of example images.

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