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  2. 2D to 3D conversion - Wikipedia

    en.wikipedia.org/wiki/2D_to_3D_conversion

    2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.

  3. High Capacity Color Barcode - Wikipedia

    en.wikipedia.org/wiki/High_Capacity_Color_Barcode

    An example of a High Capacity Color Barcode: a Microsoft Tag referring to the HCCB article on the English Wikipedia. High Capacity Color Barcode (HCCB) is a technology developed by Microsoft for encoding data in a 2D "barcode" using clusters of colored triangles instead of the square pixels conventionally associated with 2D barcodes or QR codes. [1]

  4. Generative artificial intelligence - Wikipedia

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

    Artificially intelligent computer-aided design (CAD) can use text-to-3D, image-to-3D, and video-to-3D to automate 3D modeling. [80] AI-based CAD libraries could also be developed using linked open data of schematics and diagrams. [81] AI CAD assistants are used as tools to help streamline workflow. [82]

  5. Rectangular Micro QR Code - Wikipedia

    en.wikipedia.org/wiki/Rectangular_Micro_QR_Code

    Rectangular Micro QR Code (also known as rMQR Code) is two-dimensional (2D) matrix barcode invented and standardized in 2022 [1] by Denso Wave as ISO/IEC 23941. [ 2 ] rMQR Code is designed as a rectangular variation of QR code and has the same parameters and applications as original QR code.

  6. QR code - Wikipedia

    en.wikipedia.org/wiki/QR_Code

    The QR code system was invented in 1994, at the Denso Wave automotive products company, in Japan. [6] [7] [8] The initial alternating-square design presented by the team of researchers, headed by Masahiro Hara, was influenced by the black counters and the white counters played on a Go board; [9] the pattern of the position detection markers was determined by finding the least-used sequence of ...

  7. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.

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