Deepfakes

Notes:

Deepfake is a term that refers to the use of deep learning techniques to generate fake or manipulated media, such as videos or images, that are difficult to distinguish from real ones.

Deepfake technologies use artificial neural networks and machine learning algorithms to analyze and learn from large amounts of data, such as real videos or images. They can then use this knowledge to synthesize new, fake media that are designed to closely mimic the appearance and behavior of the original data.

Deepfake technologies have the potential to create highly realistic fake media, which has raised concerns about their use for nefarious purposes, such as creating fake news or spreading misinformation. However, they can also be used for legitimate purposes, such as creating special effects for movies or enhancing video or audio quality.

Deepfakes and virtual humans are both related to the use of artificial intelligence and machine learning techniques to generate media that is designed to mimic real people or events. However, they differ in their focus and the specific techniques they use.

Deepfakes are a type of artificial intelligence technology that uses machine learning algorithms to generate fake or manipulated media, such as videos or images, that are difficult to distinguish from real ones. They are typically used to create highly realistic fake media, often by synthesizing new media based on real data.

Virtual humans, on the other hand, are computer-generated representations of real people that are designed to look and behave like real humans. They are often used for purposes such as customer service or entertainment, and can be interactive, allowing users to communicate with them through natural language or other means.

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See also:

100 Best Digital Human Videos

[Apr 2019]