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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 .
The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing . Most modern transcoding software supports transcoding a portion of a video clip , which would count as cropping and trimming.
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 ]
OpenShot Video Editor is a free and open-source video editor for Windows, macOS, Linux, and ChromeOS. The project started in August 2008 by Jonathan Thomas, with the objective of providing a stable, free, and friendly to use video editor.
Avidemux is a free and open-source software application for non-linear video editing and transcoding multimedia files. The developers intend it as "a simple tool for simple video processing tasks" and to allow users "to do elementary things in a very straightforward way". [3]
Shotcut is a free and open-source, cross-platform video, audio, and image editing program for FreeBSD, [5] Linux, macOS and Windows. [6] Started in 2011 by Dan Dennedy, Shotcut is developed on the MLT Multimedia Framework, [7] in development since 2004 by the same author. [8] [9]
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