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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.
On January 24, 2007, Microsoft released the first public Community Technology Preview of Expression Blend as a free download on their web site. The final version was released to manufacturing along with other Expression products on April 30, 2007. The RTM news was announced at Microsoft's MIX 07 conference for web developers and designers. [4]
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 ]
Until version 2, Expression Web was the only application in the Expression Studio suite based on Microsoft Office code and dependencies. [9] With version 3, Expression Web was rewritten in Windows Presentation Foundation, in line with the rest of the Expression Suite, without Microsoft Office dependencies, essentially making it a new managed ...