ᱵᱤᱥᱚᱭ ᱨᱮ ᱪᱟᱞᱟᱜ ᱢᱮ
Aiit Peking University ᱨᱮᱱᱟᱜ Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ

Aiit Peking University ᱨᱮᱱᱟᱜ Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱫᱚ ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾


ᱨᱩᱯᱟᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ· 2026

Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ

Aiit Peking University ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Advanced Institute of Information Technology, Peking University

ᱰᱤᱡᱤᱴᱟᱞ ᱩᱛᱯᱟᱫ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#180331 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱵᱟᱵᱚᱛ ᱛᱮ

Xfun ᱫᱚ ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱱᱥ (AI) ᱛᱮ ᱪᱟᱞᱟᱜ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱨᱮ ᱠᱚᱱᱥᱮᱯᱴ ᱛᱮᱭᱟᱨ, ᱚᱱᱞᱟᱭᱤᱱ ᱥᱟᱯᱲᱟᱣ ᱟᱨ ᱪᱷᱟᱯᱟ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨ ᱟᱣᱴᱯᱩᱴ ᱢᱤᱫ ᱠᱟᱹᱢᱤ ᱦᱚᱨ (ᱣᱟᱨᱠᱯᱷᱞᱚ) ᱨᱮ ᱢᱮᱥᱟ ᱟᱠᱟᱱᱟ᱾ ᱵᱨᱟᱸᱰ ᱠᱚ, ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱟᱨ ᱪᱷᱟᱯᱟ ᱦᱚᱲ ᱠᱚ ᱯᱩᱭᱞᱩ ᱵᱨᱤᱯᱷ ᱠᱷᱚᱱ ᱢᱩᱪᱟᱹᱫ ᱛᱮᱭᱟᱨᱚᱜ ᱦᱟᱹᱵᱤᱡ ᱢᱤᱫ ᱛᱮᱜᱮ ᱠᱟᱹᱢᱤ ᱫᱟᱲᱮᱭᱟᱜ ᱠᱚᱣᱟ᱾ ᱵᱷᱤᱛᱨᱤ ᱨᱮ ᱢᱮᱱᱟᱜ ᱥᱮᱬᱟᱭ ᱵᱷᱟᱸᱰᱟᱨ ᱠᱚ ᱨᱮ ᱯᱮᱯᱟᱨᱵᱚᱨᱰ ᱵᱟᱠᱥᱟ, ᱱᱚᱨᱚᱢ (ᱯᱷᱞᱮᱠᱥᱤᱵᱚᱞ) ᱯᱮᱠᱮᱡᱤᱝ ᱟᱨ ᱞᱮᱵᱚᱞ ᱠᱚ ᱢᱮᱥᱟ ᱢᱮᱱᱟᱜᱼᱟ, ᱟᱨ CMYK ᱨᱚᱝ ᱵᱮᱵᱚᱥᱛᱟ ᱟᱨ ᱢᱮᱴᱮᱨᱤᱭᱟᱞ ᱴᱮᱠᱥᱪᱚᱨ ᱥᱤᱢᱩᱞᱮᱥᱚᱱ ᱛᱮ ᱯᱷᱚᱞ ᱠᱚ ᱥᱟᱹᱨᱤ ᱛᱮᱭᱟᱨᱚᱜ ᱢᱟᱱᱚᱠ ᱵᱷᱤᱛᱨᱤ ᱨᱮ ᱛᱟᱦᱮᱸᱱᱟ᱾ ᱢᱤᱫ ᱢᱳᱰᱩᱞᱟᱨ ᱤᱱᱴᱚᱨᱯᱷᱮᱥ ᱛᱮ ᱛᱮᱭᱟᱨ, ᱯᱟᱨᱟᱢᱤᱴᱟᱨ ᱥᱟᱡᱟᱣ ᱟᱨ ᱢᱮᱴᱮᱨᱤᱭᱟᱞ ᱞᱟᱭᱵᱽᱨᱮᱨᱤ ᱢᱤᱫ ᱴᱷᱟᱶ ᱨᱮ ᱡᱚᱢᱟ ᱢᱮᱱᱟᱜᱼᱟ, ᱡᱟᱦᱟᱸ ᱛᱮ ᱰᱤᱡᱟᱭᱤᱱ ᱚᱠᱛᱚ ᱦᱩᱰᱤᱧᱚᱜᱼᱟ ᱟᱨ ᱠᱷᱚᱨᱚᱪ ᱠᱚᱢᱚᱜᱼᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱫᱚ A' Design Award ᱨᱩᱯᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱥᱩᱱᱫᱚᱨ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Xfun ᱯᱮᱠᱮᱡᱤᱝ ᱰᱤᱡᱟᱭᱤᱱ ᱯᱞᱮᱴᱯᱷᱚᱨᱢ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
Xfun, an AI powered platform for the packaging design industry, addresses the lengthy cycles, high costs, and cumbersome revision processes common in traditional workflows. By integrating creative conception, online editing, and print ready output, it enables efficient collaboration among small and medium sized brands, designers, and packaging printers. Through a structured layout and professional tools, the platform ensures a smooth, controllable journey from initial brief to final production.
ᱴᱮᱜ ᱠᱚ
Intelligent Packaging Design Platform, AI Powered Packaging Concept Generation, Online Editing, Print Ready Output, Modular Interface, Efficient Delivery, Diverse Material Options, Human Computer Collaboration
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
Xfun deeply integrates knowledge bases of materials and production processes specific to the packaging industry, covering structural specifications and print compatibility requirements for mainstream formats including paperboard boxes, flexible packaging, and labels. It also supports CMYK color management and material texture simulation, ensuring that AI generated designs adhere rigorously to real world production standards.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
The challenge was merging packaging industry knowledge with AI. To address this, the team has built knowledge bases and developed AI models, ensuring results are creatively compelling and compliant with printing and manufacturing standards. Moreover, Xfun actively bridges the data pipeline between design and production, creating a closed loop system from creative conception to print delivery. This resolves core issues around output controllability, cost efficiency, and real world implementation.
ᱜᱚᱵᱮᱥᱚᱱᱟ
With the rise of new consumer brands and agricultural product electronic commerce, the demand for fast, low cost, and high quality packaging design has surged. Yet traditional workflows rely on repetitive manual communication and prototyping, failing to meet the need for rapid market entry. Xfun leverages intelligent methods to optimize the design workflow, which bridges the gap between creative conception and production, helping small and medium sized brands improve their competitiveness.
ᱯᱨᱮᱨᱚᱱᱟ
Xfun upholds a design philosophy that equally prioritizes professional tools and exceptional user interaction. The interface embraces minimalism, where purple as the main color, accented with black and gray for key buttons and interactive elements, provides intuitive visual guidance to assist users in focused, efficient operation. Moreover, micro interactions, gradient light and shadow, and linear icons convey technological sophistication and reliability without compromising on practicality.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
The project started in March 2024.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ
A modular interface clearly displays functional zones such as AI generation, parameter setting and material library. An optimized information hierarchy highlights primary buttons, naturally guiding users through the core workflow of requirement input, parameter adjustment, and result generation. Linear icons like custom cursors and loading animations present a clean, modern aesthetic, spicing up the clear, organized interface. Smooth interaction embodies professionalism and practicality.
ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
Advanced Institute Of Information Technology Peking University
Lei Shao, Wei Zhang, Sen Peng, Yi Zhang, Xiaoqing Zhang, Yi Li, Handong Zhang, Shuai Pan, Jiahong Tu, Yuhan Wu, Jiajie Yuan

ᱥᱯᱚᱱᱥᱚᱨᱰ

Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ

ᱟᱞᱮᱭᱟᱜ ᱵᱤᱜᱽᱭᱟᱯᱚᱱ ᱥᱟᱹᱜᱟᱹᱭ ᱠᱚ ᱠᱷᱚᱱ ᱯᱨᱚᱰᱟᱠᱴ, ᱥᱮᱵᱟ ᱟᱨ ᱢᱚᱠᱟ ᱩᱫᱩᱜ ᱢᱮ᱾

ᱵᱷᱟᱞ ᱰᱤᱡᱟᱭᱱ ᱢᱟᱨᱟᱝ ᱪᱤᱱᱦᱟᱹ ᱦᱟᱛᱟᱣ ᱞᱟᱹᱠᱛᱤᱭᱟᱜᱼᱟ

A' ᱰᱤᱡᱟᱭᱱ ᱮᱣᱟᱨᱰ ᱫᱚ ᱵᱷᱟᱞ ᱰᱤᱡᱟᱭᱱ ᱞᱟᱜᱤᱫ ᱢᱤᱫ ᱟᱱᱛᱚᱨᱡᱟᱛᱤᱭ, ᱡᱩᱨᱤ ᱵᱤᱪᱟᱨ ᱠᱟᱱ ᱢᱟᱱ ᱠᱟᱱᱟ᱾ A' ᱰᱤᱡᱟᱭᱱ ᱮᱣᱟᱨᱰ ᱨᱮ ᱵᱷᱟᱜ ᱞᱮ ᱟᱢᱟᱜ ᱠᱟᱹᱢᱤ ᱞᱟᱜᱤᱫ ᱡᱚᱜᱽᱭᱟᱛᱟ ᱨᱮᱱᱟᱜ ᱪᱤᱱᱦᱟᱹ, ᱱᱟᱢ, ᱢᱟᱱ ᱟᱨ ᱯᱨᱪᱟᱨ ᱧᱟᱢ ᱞᱟᱜᱤᱫ᱾ ᱟᱢᱟᱜ ᱠᱟᱹᱢᱤ A' ᱰᱤᱡᱟᱭᱱ ᱮᱣᱟᱨᱰ ᱞᱟᱜᱤᱫ ᱱᱚᱢᱤᱱᱮᱴ ᱠᱟᱛᱮ ᱢᱟᱱ ᱟᱠᱟᱱ A' ᱰᱤᱡᱟᱭᱱ ᱯᱩᱨᱟᱥᱠᱟᱨ ᱞᱟᱜᱤᱫ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱢᱮ᱾

ᱱᱚᱢᱤᱱᱮᱴ