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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. [2]
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] 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. [5]
Text-to-video generation, such as text-to-video generators, generated videos etc. Pages in category "Text-to-video generation" The following 11 pages are in this category, out of 11 total.
Several default chatbots are available in Microsoft Copilot, including the standard Copilot chatbot as well as Microsoft Designer, which is oriented towards the use of its Image Creator to generate images based on text prompts. Others include "Travel Planner", "Cooking Assistant", and "Fitness Trainer". [73]
Jones was noodling with Copilot Designer, the AI image generator that Microsoft debuted in March 2023, powered by OpenAI’s technology. Like with OpenAI’s DALL-E , users enter text prompts to ...
The output of the executed code is the text file generated by the template. [2] By using the Text Transformation class, T4 can also be run entirely from within a .NET application, eliminating the need for the end user to have Visual Studio installed.