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2. 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 ...

3. Wikipedia:WikiProject QRpedia/user guide - Wikipedia

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

   If possible, providing free Wi-Fi hotspots will facilitate more use of the codes, especially in remote or thick-walled buildings with unreliable mobile internet connections. Display the codes where people (including children, and those in wheelchairs) can reach them. The codes should be well lit. Shadow makes it more difficult to scan.

4. File:Qr-code-ver-40.svg - Wikipedia

   en.wikipedia.org/wiki/File:Qr-code-ver-40.svg

   English: SVG version of File:Qr-code-ver-40.png. Content: Version 40 QR Code can contain up to 1852 chars. A QR code (abbreviated from Quick Response code) is a type of matrix barcode (or two-dimensional code) that is designed to be read by smartphones. The code consists of black modules arranged in a square pattern on a white background.

5. Transparency (graphic) - Wikipedia

   en.wikipedia.org/wiki/Transparency_(graphic)

   GIF animation of an Apollonian sphere packing with transparent background. Transparency in computer graphics is possible in a number of file formats.The term "transparency" is used in various ways by different people, but at its simplest there is "full transparency" i.e. something that is completely invisible.

6. Computer-generated imagery - Wikipedia

   en.wikipedia.org/wiki/Computer-generated_imagery

   Computer-generated imagery (CGI) is a specific-technology or application of computer graphics for creating or improving images in art, printed media, simulators, videos and video games. These images are either static (i.e. still images) or dynamic (i.e. moving images).

7. Text-to-video model - Wikipedia

   en.wikipedia.org/wiki/Text-to-video_model

   By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [ 14 ]