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It rendered and animated text in 3d in various fonts based on the user's input. Terragen and Terragen 2 are scenery generators. The Advanced Visualizer, a.k.a. TAV (Wavefront Technologies) was a high-end 3D package between the late 1980s and mid-1990s, running on Silicon Graphics (SGI) workstations. Wavefront first acquired TDI in 1993, before ...
A video is generated in latent space by denoising 3D "patches", then transformed to standard space by a video decompressor. Re-captioning is used to augment training data , by using a video-to-text model to create detailed captions on videos.
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]
This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
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 .
This page provides a list of 3D rendering software, the dedicated engines used for rendering computer-generated imagery. This is not the same as 3D modeling software , which involves the creation of 3D models, for which the software listed below can produce realistically rendered visualisations.
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There is free software on the market capable of recognizing text generated by generative artificial intelligence (such as GPTZero), as well as images, audio or video coming from it. [99] Potential mitigation strategies for detecting generative AI content include digital watermarking , content authentication , information retrieval , and machine ...
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