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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.
There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]
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]
OpenAI released its text-to-video artificial intelligence model, Sora, this week after the completion of its testing phase. The Microsoft-backed AI startup first teased the model in February and ...
The Microsoft-backed company, which kicked off a generative AI craze with the launch of its ChatGPT chatbot in November 2022, aims to target similar text-to-video tools from Meta and Alphabet's ...
Gen-2 is a multimodal AI system that can generate novel videos with text, images or video clips. The model is a continuation of Gen-1 and includes a modality to generate video conditioned to text. Gen-2 is one of the first commercially available text-to-video models. [31] [32] [33] [34]
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