EchoMind Blog - Classification of virtual digital humans

Classification of virtual digital humans

Virtual digital humans can be categorized in various ways, and the following are some of the common classification methods:

1. Based on technology: Virtual humans can be divided into algorithm-driven types (such as AI real-time or face modeling) and real-person-driven types (such as motion capture).

2. Based on visual dimensions: Virtual humans can be categorized into 2D and 3D types.

3. Based on structural composition: Virtual humans can be divided into digital types (viewed online by users) and holographic types (viewed live by users with the naked eye).

4. Based on core functionality: Virtual humans can be classified into service types and identity types. Service-type virtual humans' core function is to replace real humans in various public service roles, while identity-type virtual humans serve a social entertainment function, representing a real person's image in the virtual world.

5. Based on the driving method, virtual digital humans can be divided into four categories: text-driven virtual digital humans, conversation scenario-driven virtual digital humans, real-person (real-time capture) driven virtual digital humans, and non-intelligent driven virtual digital humans.

Additionally, according to commercial application needs, the roles and images of virtual digital humans are also divided into four major categories: hyper-realistic virtual humans, beauty-type virtual humans, anime-style virtual humans, and cartoon virtual humans.

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