Persona AI 角色創作軟件 by Meijie Hu is a highly esteemed winner of the very prestigious 2025 A' Design Award 鐵獎 in 軟件設計 Competition Category.

鐵軟件· 2025

Persona AI 角色創作軟件

by Meijie Hu

Client: Meijie Hu

A' Design Award 鐵獎 Winner in 軟件 Category

12,560

Verified Award Winner

Verify Award Status for #169956

View at A' Design Award Press Release Award Badge

Colors

The Design

About Persona AI 角色創作軟件

Book Text：Persona AI係一款用嚟創建三維角色面孔嘅軟件應用程式。用戶可以用文字描述面部特徵、年齡、性別同個性，應用程式就會生成逼真嘅面孔。生成對抗網絡負責製作面部紋理，而三維可變形模型就負責定義面部幾何結構。每個提示都會提供三個變化版本，單一特徵仲可以透過進一步嘅文字提示嚟優化，而唔會改變其餘部分。完成嘅面孔可以透過網頁連結分享，或者以可調整嘅解像度匯出。

The Recognition

About the A' Design Award 鐵獎

Persona AI 角色創作軟件是 A' Design Award 鐵獎得主，這是授予滿足人們對設計精良的創作所期待的專業與工業要求的優良設計的聲望認可。鐵獎得主展現出其創作者的高超技藝、高度專業化、專家級的理解力和創造能力。預計Persona AI 角色創作軟件將成為一件備受推崇、令人欽佩且被珍愛的創作，既實用又創新。這件贏得 A' Design Award 鐵獎的設計整合了行業最佳實踐，並擁有與專業知識和才華相結合的稱職技術特性。Persona AI 角色創作軟件因其嚴謹而受到尊重，旨在提供有助於讓世界變得更美好的生活品質改善。

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