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

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

   t. e. Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model generates short video clips corresponding to prompts from users. Sora can also extend existing short videos. As of June 2024 it is unreleased and not yet available to the public.

3. Text-to-video model - Wikipedia

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

   Text-to-video model. A text-to-video model is a machine learning model that takes a natural language description as input and produces a video relevant to the input text. [1] Recent advancements in generating high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [2]

4. Runway (company) - Wikipedia

   en.wikipedia.org/wiki/Runway_(company)

   Runway AI, Inc. Runway AI, Inc. (also known as Runway and RunwayML) is an American company headquartered in New York City that specializes in generative artificial intelligence research and technologies. [1] The company is primarily focused on creating products and models for generating videos, images, and various multimedia content.

5. Artificial intelligence art - Wikipedia

   en.wikipedia.org/wiki/Artificial_intelligence_art

   Generative AI has been used in video game production beyond imagery, especially for level design (e.g., for custom maps) and creating new content (e.g., quests or dialogue) or interactive stories in video games. Some AI can also generate videos, either from text, an image, or a video. This is known as a text-to-video model. Examples of this are ...

6. Generative artificial intelligence - Wikipedia

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

   Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...

7. Investigating the Use of Text Positions on Videos: An Eye ...

   files.eric.ed.gov/fulltext/EJ1244700.pdf

   The duration of each video was approximately 3 minutes. They were simple and straightforward to present the main message. Two text positions (layouts) were identified for each video by considering the text positions commonly used in daily life: the bottom and right side of the screen (see Figure 1).