The video industry can undergo dramatic

Where there will always be room for human intuition. Companies and organizations must invest in both AI technologies and the development of their own employees in order to be able to use the benefits of AI to the maximum, thus building a “partnership” interaction between man and machine, where AI can be a great tool to save time and resources for implementation. Creates a video bas on an image, text or other video. Let’s talk about how it works What’s happening Google Research has develop the Dreamix neural network that generates short videos bas on a text description or bas on another video, photo, or photo collection.

The new Google Dreamix neural network

The neural network is bas on the diffusion model . This Venezuela Phone Number List means that first the training data (original image) is blurr until it turns into noise completely, and then the AI ??learns and restores the image. In this case, the generat image does not repeat the original one exactly, but imitates it. The neural network can not only animate the image, but also it the video on a text request. For example, he replaces the monkey with a bear, and puts the deer on a skateboard. Dreamix creates videos by preserving the color gamut, the size of the object in the image, and the position of the camera. However, while the quality of the video remains low.

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This can make it easier for small companies

The neural network is not available to the mass user. What does it USA CFO mean With the development of this and similar technologies, changes. Costs will decrease. AI-generat video can be produc at a much lower cost than traditional video production, which requires large teams of people, equipment rentals, and area reconnaissance. Or individuals to create high-quality content at no extra cost. Efficiency will increase. Creating video on demand can greatly ruce the time and effort requir to create video content.

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