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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]
2005: Microsoft released the first version of T4 as an out-of-band release for Visual Studio 2005 2008: Microsoft includes it with Visual Studio 2008 2010: Microsoft includes it with Visual Studio 2010 which included significant new features to improve performance, usability for both template authors and tool builders and better integration ...
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]
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 ]
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.
BSD-3-Clause or AFL-2.1: Microsoft Expression Web: Microsoft: 4.0.1460.0 2012-12-20 Proprietary: Microsoft Office FrontPage: Microsoft: 11.0.8174 2003-10-21 Proprietary: Microsoft FrontPage Express: Microsoft: 2.0 1997 Proprietary: Microsoft SharePoint Designer: Microsoft: 2007 2006-12-04 Proprietary: Microsoft Visual Studio Code: Microsoft: 1. ...