Persona AI Kev Tsim Duab Cim Neeg los ntawm Meijie Hu

Qhov qauv tsim Persona AI Kev Tsim Duab Cim Neeg los ntawm Meijie Hu yog tus yeej muaj nqis heev ntawm qhov khoom plig 2025 A' Design Award Hlau hauv Pawg Sib Tw Tsim Software.

HlauSoftware· 2025

Persona AI Kev Tsim Duab Cim Neeg

los ntawm Meijie Hu

Tus Neeg Siv: Meijie Hu

Tus Yeej A' Design Award Hlau hauv Pawg Software

12,560

Tus Yeej Khoom Plig Tau Txheeb Xyuas

Txheeb Xyuas Qhov Xwm Txheej Khoom Plig rau #169956

Saib ntawm A' Design Award Tsab Xov Xwm Daim Phiaj Khoom Plig

Xim

Qhov Tsim

Txog Persona AI Kev Tsim Duab Cim Neeg

Persona AI yog ib qho software siv rau kev tsim ntsej muag cim neeg peb sab (three-dimensional). Cov neeg siv piav qhia txog tej yam ntsej muag, hnub nyoog, poj niam txiv neej, thiab tus cwj pwm ntawm sau ntawv, thiab qhov software tsim tau cov ntsej muag zoo li tiag tiag. Generative adversarial networks (GANs) tsim cov nqaij ntsej muag (facial textures), thaum tias peb sab morphable models teeb tsa cov qauv puab ntsej muag (facial geometry). Muaj peb qhov sib txawv (variations) rau txhua lo lus qhia (prompt), thiab tej yam ntsej muag tshwj xeeb tuaj yeem raug hloov kho ntxiv los ntawm kev sau ntawv qhia ntxiv tsis muaj kev hloov rau lwm feem. Cov ntsej muag ua tiav lawm tuaj yeem qhia tawm los ntawm web link lossis rho tawm (export) nrog qhov resolution uas yuav hloov tau raws li xav tau.

Qhov Lees Paub

Txog A' Design Award Hlau

Persona AI Kev Tsim Duab Cim Neeg yog tus yeej ntawm A' Design Award Hlau, ib qho kev lees paub muaj meej mom uas muab rau cov qauv tsim zoo uas ua tau raws li cov kev xav tau ntawm kev ua haujlwm thiab kev lag luam uas xav tau los ntawm cov khoom tsim zoo. Cov neeg yeej Hlau qhia txog kev txawj loj, kev paub tshwj xeeb siab, kev nkag siab ntawm cov kws tshaj lij thiab lub peev xwm tsim ntawm cov neeg tsim. Persona AI Kev Tsim Duab Cim Neeg xav tias yuav yog ib qho khoom tsim uas neeg hwm, qhuas thiab hlub uas siv tau thiab tsim tshiab. Cov qauv tsim yeej A' Design Award Hlau no sib xyaw cov kev coj ua zoo tshaj plaws ntawm kev lag luam thiab muaj cov yam ntxwv siv tshuab txawj ntse txuas nrog kev paub thiab txuj ci. Persona AI Kev Tsim Duab Cim Neeg tau txais kev hwm vim nws tag nrho thiab tsim los muab kev txhim kho rau lub neej uas pab ua rau lub ntiaj teb zoo dua.

Tom Qab Qhov Tsim

Pob Xov Xwm

Cov credit, cov neeg pab thiab cov ntsiab lus kev txawj ntse muab los ntawm tus tsim.

Yam Tshwj Xeeb: 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.
Cov Ntsiab Lus: AI, UI/UX, creation tool, 3D design tool, user interface, human-centered design, 3D
Thev Naus Laus Zis Tsim Khoom: 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.
Kev Sib Tw Tsim Qauv: 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.
Kev Tshawb Fawb: 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.
Kev Txhawb Siab: 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.
Lub Sij Hawm Ua Hauj Lwm: The project started in Oct 2023 and finished in Feb 2024.
Txheej Txheem Ua Hauj Lwm: 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.
Cov Tswv Cuab Pab: Meijie Hu