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2. 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]

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

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

   v. 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.

4. 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 ...

5. Here's how to spot AI-generated images, videos, audio and text

   www.aol.com/heres-spot-ai-generated-images...

   AI-generated videos and audio: Look for strange shadows, blurs or light flickers. In some AI-generated videos, shadows or light may appear to flicker only on the face of the person speaking or ...

6. Text-to-image model - Wikipedia

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

   A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...

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).