Persona AI キャラクター制作ソフトウェア by Meijie Hu is a highly esteemed winner of the very prestigious 2025 A' Design Award 鉄賞 in ソフトウェアデザイン Competition Category.

鉄ソフトウェア· 2025

Persona AI キャラクター制作ソフトウェア

by Meijie Hu

Client: Meijie Hu

A' Design Award 鉄賞 Winner in ソフトウェア Category

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View at A' Design Award Press Release Award Badge

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The Design

About Persona AI キャラクター制作ソフトウェア

Persona AIは、三次元のキャラクターフェイスを制作するためのソフトウェアアプリケーションです。ユーザーが顔の特徴、年齢、性別、性格をテキストで記述すると、アプリケーションがフォトリアリスティックな顔を生成します。敵対的生成ネットワーク（GAN）が顔のテクスチャを生成し、三次元モーファブルモデルが顔の形状を定義します。各プロンプトに対して3つのバリエーションが提示され、追加のテキストプロンプトによって、他の部分を変更することなく単一の特徴のみを調整できます。完成した顔はウェブリンクで共有したり、解像度を任意に設定して書き出すことが可能です。

The Recognition

About the A' Design Award 鉄賞

Persona AI キャラクター制作ソフトウェアは、よく設計された創造物に期待される専門的・産業的要件を満たす優れたデザインに授与される、権威ある評価である A' Design Award 鉄賞の受賞作品です。鉄賞の受賞作品は、制作者の高い技量、高度な専門性、専門家としての理解、創造的な能力を示しています。Persona AI キャラクター制作ソフトウェアは、高く評価され、称賛され、愛される、実用的で革新的な創造物であることが期待されます。この A' Design Award 鉄賞を受賞したデザインは、業界のベストプラクティスを統合し、ノウハウと才能に結びついた有能な技術的特性を備えています。Persona AI キャラクター制作ソフトウェアは、その徹底ぶりで尊敬され、世界をより良い場所にするための生活の質の向上をもたらすよう設計されています。

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Traditionally, crafting a photorealistic 3D character face requires hours of work using complex design platforms. Leveraging advanced AI models like GANs for high-quality facial texture maps and 3DMM for precise facial geometry, Persona.ai eliminates this complexity by allowing users to generate and edit photorealistic 3D character faces by simply describing the character’s facial features through text, making it accessible and effortless for 3D hobbyists and creators of all skill levels.
Tags: AI, UI/UX, creation tool, 3D design tool, user interface, human-centered design, 3D
Production Technology: Persona.ai leverages Generative Adversarial Networks (GANs) for high-quality facial texture synthesis and 3D Morphable Models (3DMM) for precise facial geometry, combining them to generate lifelike 3D character faces. For prototyping, I used Unreal Engine to generate character mockups, Blender to refine geometry, and Figma to design the interface.
Design Challenge: The biggest challenge was preserving creators' full creative control. Interviews revealed that artists often visualize a character before designing it in 3D and feel frustrated when generated results are too random to align with their vision. To address this, I redesigned the process to generate three variations instead of one, giving users more options to choose from. Additionally, I introduced secondary editing, allowing precise adjustments to facial features, ensuring greater accuracy and creative satisfaction.
Research: I conducted five interviews and surveyed 20 3D artists, game developers, and hobbyists to identify their character creation journey, pain points in their workflows, key character details they prioritize, and preferred file formats. After developing a prototype, I tested five concept cards on ways to use text prompts and text suggestions to optimize LLM character creation. I also A/B tested two final user flows with the original interviewees. Insights from the testing were used to refine the design and ensure users' full creative control.
Inspiration: As a 3D hobbyist, I know how frustrating it is to create realistic character faces without spending hours in complex software. Many fellow creators share this struggle, stuck between imagination and technical barriers. This inspired me to read AI-driven solutions in computer graphics research papers, leading to Persona.ai, a tool that turns simple text prompts into detailed 3D characters, making high-quality character creation easy and accessible for everyone.
Project Duration: The project started in Oct 2023 and finished in Feb 2024.
Operation Flow: Users start by entering a text prompt describing facial attributes, age, gender, and personality to generate high-quality facial textures and base geometries. Persona.ai then outputs three variations, and the user selects one for reinforcement learning. They can refine specific facial features using text prompts without altering the rest. Changes are saved in history. Once satisfied, users can share via a web link or export to their target platform with adjustable resolution and rigged body options.
Team Members: Meijie Hu