How deeply does Generative AI in Action cover gan-based video generation?

Defines the GAN approach and contrasts input modalities without explaining adversarial training or implementation details.

Gan-based video generation

As explained in Generative AI in Action

GAN-based video generation is the creation of video content with a generative adversarial network.

GAN-based video generation creates video content with a generative adversarial network. It belongs to a wider set of video-generation approaches that includes text-to-video, image-to-video, and video-to-video synthesis. section 5.4

Distinguish the main input patterns:

Text-to-video generates video from a prompt by associating language with visual concepts. section 5.4
Image-to-video transforms a source image into a matching video. section 5.4
Video-to-video creates new content while retaining the underlying structure of a source video. section 5.4

How Generative AI in Action covers it

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Related concepts

generative adversarial networkuses · A generative adversarial network is a generative model with a generator and discriminator trained in competition, enabling the generator to produce samples resembling a target dataset or distribution.

This explainer was generated by Manning's knowledge graph from the text of Generative AI in Action. The section links point to the parts of the book it draws on.