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  2. Text-to-image model - Wikipedia

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

    In 2016, Reed, Akata, Yan et al. became the first to use generative adversarial networks for the text-to-image task. [5] [7] With models trained on narrow, domain-specific datasets, they were able to generate "visually plausible" images of birds and flowers from text captions like "an all black bird with a distinct thick, rounded bill".

  3. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E, DALL·E 2, and DALL·E 3 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. DALL·E 3 was released natively ...

  4. Lower third - Wikipedia

    en.wikipedia.org/wiki/Lower_third

    Lower thirds are also often known as "CG" (from character generator) or captions, and sometimes chyrons in North America, due to the popularity of Chyron Corporation's Chiron I character generator, an early digital solution developed in the 1970s for rendering lower thirds. [2]

  5. Attention (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Attention_(machine_learning)

    An image captioning model was proposed in 2015, citing inspiration from the seq2seq model. [ 17 ] that would encode an input image into a fixed-length vector. (Xu et al 2015), [ 18 ] citing (Bahdanau et al 2014), [ 19 ] applied the attention mechanism as used in the seq2seq model to image captioning.

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  7. LAION - Wikipedia

    en.wikipedia.org/wiki/LAION

    LAION (acronym for Large-scale Artificial Intelligence Open Network) is a German non-profit which makes open-sourced artificial intelligence models and datasets. [1] It is best known for releasing a number of large datasets of images and captions scraped from the web which have been used to train a number of high-profile text-to-image models, including Stable Diffusion and Imagen.

  8. Captions (app) - Wikipedia

    en.wikipedia.org/wiki/Captions_(app)

    Captions is a video-editing and AI research company headquartered in New York City. Their flagship app, Captions, is available on iOS, Android, and Web and offers a suite of tools aimed at streamlining the creation and editing of videos. Captions offers features to automate common production tasks including captioning, editing, dubbing, script ...

  9. Subtitle editor - Wikipedia

    en.wikipedia.org/wiki/Subtitle_editor

    Subtitle editor. A subtitle editor is a type of software used to create and edit subtitles to be superimposed over, and synchronized with, video. Such editors usually provide video preview, easy entering/editing of text, start, and end times, and control over text formatting and positioning. Subtitle editors are available as standalone ...

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