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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 .
In June 2024, Kuaishou released its diffusion transformer text-to-video model, Kling, which they claimed could generate two minutes of video at 30 frames per second and in 1080p resolution. The model has been compared to that of OpenAI's Sora text-to-video model.
Critics compared Dream Machine heavily to Sora, a text-to-video model created by OpenAI, and Kling, another text-to-video model, upon its release. [ 2 ] [ 11 ] Charles Pulliam-Moore of The Verge wrote that "bullish fans" of generative AI "were quick to call [Dream Machine] a novel innovation", but remarked upon its training data not being ...
On Thursday, the company's CEO revealed a new AI tool that, using nothing more than a brief text prompt, creates videos up to 60 seconds long so realistic the average person would struggle to ...
Sora, as OpenAI is calling its new text-to-video product, isn't exactly the first of its kind. Runway, an AI startup that has raised $263 million in funding, hosts an entire film festival ...
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.
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