Persona-Based Avatar Generation Using LLM Prompt Assembly
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Solution Overview
Problem
Existing avatar generation systems fail to create avatars that accurately reflect the attributes of a dialogue partner, limiting their versatility and effectiveness in role-playing scenarios.
Innovation Solution
An avatar generation system that includes a receiver to receive persona information, a persona generator to generate a persona generation prompt using a large language model, a storage to hold element data, and an avatar generator to select and generate avatars based on these prompts, enabling the creation of avatars tailored to the attributes of a dialogue partner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a virtual pseudo-human image generation system uses stored movement patterns and model data to generate avatars, then the system can produce virtual pseudo-human images with idling movements, but the system cannot generate avatars according to the attributes of a dialogue partner
Solution Approach 1:
The avatar generation system is divided into distinct functional modules: a receiver for obtaining dialogue partner attributes, a persona generator for creating persona prompts using a large language model, an avatar generator for synthesizing the final avatar, and a storage for managing element data. This segmentation allows each module to specialize in a specific task, enabling the system to generate customized avatars according to dialogue partner attributes while maintaining manageable system complexity through modular architecture.
2Adaptability or versatility
If the system generates avatars using stored element data and persona generation prompts, then avatars can be created according to dialogue partner attributes, but the process requires multiple processing steps including LLM processing and element data selection
Solution Approach 1:
The system pre-stores multiple pieces of element data (such as facial features, body characteristics, clothing items) in a structured format in the storage module. This preliminary organization of avatar components allows the avatar generator to quickly assemble customized avatars by selecting and combining pre-prepared elements based on the persona generation prompt, significantly reducing the time required for avatar generation while maintaining high adaptability to different dialogue partner attributes.
Data Source
AI summary
An avatar generation system according to one aspect of the present disclosure includes a receiver configured to receive persona information indicating a persona that characterizes a dialogue partner of a user, a persona generator configured to generate a persona generation prompt indicating characteristics of the persona based on the persona information received by the receiver using a large language model, a storage configured to store a plurality of pieces of element data indicating components of an avatar as a dialogue partner, an avatar generator configured to select the element data stored in the storage for the persona generation prompt generated by the persona generator and generate an avatar using the selected element data, and an output unit configured to output an avatar corresponding to the persona based on the persona generation prompt generated by the persona generator.