Persona AI 캐릭터 생성 소프트웨어 by Meijie Hu is a highly esteemed winner of the very prestigious 2025 A' Design Award 철상 in 소프트웨어 디자인 Competition Category.

철소프트웨어· 2025

Persona AI 캐릭터 생성 소프트웨어

by Meijie Hu

Client: Meijie Hu

A' Design Award 철상 Winner in 소프트웨어 Category

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The Design

About Persona AI 캐릭터 생성 소프트웨어

페르소나 AI(Persona AI)는 3차원 캐릭터 얼굴을 제작하기 위한 소프트웨어 애플리케이션입니다. 사용자가 얼굴 특징, 나이, 성별, 성격을 텍스트로 설명하면 애플리케이션이 사실적인 실사 수준의 얼굴을 생성합니다. 생성적 적대 신경망(GAN)이 얼굴 텍스처를 만들어내고, 3차원 모퍼블 모델이 얼굴의 지오메트리를 정의합니다. 하나의 프롬프트에 대해 세 가지 변형이 제공되며, 추가 텍스트 프롬프트를 통해 나머지 부분은 그대로 유지한 채 개별 특징만 정교하게 다듬을 수 있습니다. 완성된 얼굴은 웹 링크로 공유하거나 조절 가능한 해상도로 내보낼 수 있습니다.

The Recognition

About the A' Design Award 철상

Persona AI 캐릭터 생성 소프트웨어, 이 작품은 A' Design Award 철상 수상작으로, 잘 디자인된 창작물에 기대되는 전문적·산업적 요건을 충족하는 좋은 디자인에 수여되는 권위 있는 인정입니다. 철상 수상작은 창작자의 뛰어난 기술, 높은 전문성, 전문가다운 이해, 창의적 역량을 보여 줍니다. Persona AI 캐릭터 생성 소프트웨어, 이 작품은 높이 평가받고 감탄과 사랑을 받는 창작물로서 실용적이고 혁신적일 것으로 기대됩니다. 이 철상 수상 디자인은 업계 모범 사례를 통합하며 노하우와 재능으로 연결된 유능한 기술적 특성을 갖추고 있습니다. Persona AI 캐릭터 생성 소프트웨어, 이 작품은 철저함으로 존중받으며 삶의 질을 개선하여 세상을 더 나은 곳으로 만들도록 디자인되었습니다.

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