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  2. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [6] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [4]

  3. OpenAI releases video creation tool

    www.aol.com/openai-releases-video-creation-tool...

    The tool is able to generate up to 50 videos each month at 480p resolution. Those with a Pro plan will be able to generate videos with higher resolutions and longer durations. “The version of ...

  4. OpenAI launches video generation tool Sora

    www.aol.com/openai-launches-video-generation...

    While Sora is able to create “realistic videos” from short text inputs, OpenAI said the version of the app it was releasing currently has “many limitations” and often generates ...

  5. Dream Machine (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Dream_Machine_(text-to...

    Dream Machine is a text-to-video model created by the San Francisco-based generative artificial intelligence company Luma Labs, which had previously created Genie, a 3D model generator. It was released to the public on June 12, 2024, which was announced by the company in a post on X alongside examples of videos it created. [1]

  6. OpenShot - Wikipedia

    en.wikipedia.org/wiki/OpenShot

    OpenShot Video Editor is a free and open-source video editor for Windows, macOS, Linux, and ChromeOS. The project started in August 2008 by Jonathan Thomas, with the objective of providing a stable, free, and friendly to use video editor.

  7. Text-to-video model - Wikipedia

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

    A text-to-video model is a machine learning model that uses a natural language description as input to produce a video relevant to the input text. [1] Advancements during the 2020s in the generation of high-quality, text-conditioned videos have largely been driven by the development of video diffusion models .

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