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Serpentine Seasons Animated Video by Leijing Zhou

Serpentine Seasons Animated Video by Leijing Zhou is a highly esteemed winner of the very prestigious 2025 A' Design Award آسنین انعام in جنیریٹو، الگورتھمک، پیرامیٹرک ءِ اے آئی اسسٹڈ ڈیزائن Competition Category.


آسنجنیریٹو· 2025

Serpentine Seasons Animated Video

by Leijing Zhou

Client: Zhejiang University

A' Design Award آسنین انعام Winner in جنیریٹو Category

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The Design

About Serpentine Seasons Animated Video

Serpentine Seasons یک اینیمیٹڈ ویڈیو انت کہ مصنوعی ذہانت ءِ وسیلہ ءَ جوڑ بوتگ۔ ایں کار سفید سانپ ءِ چینی داستان ءَ 24 شمسی موسمانی نظام ءِ ذریعہ ءَ، کہ سال ءِ نشان کننگ ءِ یک روایتی سیستم انت، بازیں کنت۔ شش دقیقگی ویڈیو ءِ ہر بھاگ یک شمسی موسم ءَ ربط دارگ بوتگ، و منظر موسمانی پیش رفتن ءِ ہمراہ بدل بنت۔ عکس متن-بہ-ویڈیو تولید و سبک ءِ انتقال ءِ وسیلہ ءَ جوڑ بوتگ انت، کہ یک مشرقی بصری سبک ءَ نگہ دارنت۔ Serpentine Seasons نشان دنت کہ چون مصنوعی ذہانت تونت ثقافتی میراث ءَ ڈیجیٹل قصہ گوی ءِ ذریعہ ءَ پیش بدارت۔

The Recognition

About the A' Design Award آسنین انعام

Serpentine Seasons Animated Video A' Design Award آسنین انعام ءِ ورگ آ انت، معزز اعتراف کہ آ جوانیں ڈیزائناں دیگ بیت کہ جوانیں ڈولا ڈیزائن کنگ بوتگیں تخلیقاں چہ متوقع پیشہ ورانہ ءُ صنعتی ضرورتاں پورا کننت۔ آسن ءِ ورگ آ وتی خالقاں ءِ مزن مہارت، اعلیٰ ماہری، ماہرانہ سمجھ ءُ تخلیقی صلاحیت پیش کننت۔ Serpentine Seasons Animated Video چہ امید کنگ بیت کہ آ یک باز قدر کنگ بوتگیں، ساراہگ بوتگیں ءُ پیارکنگ بوتگیں تخلیق بیت کہ عملی ءُ جدت ءِ انت۔ ای ڈیزائن کہ A' Design Award آسنین انعام ءَ برتگ، صنعت ءِ بہترین طریقہ یکجا کنت ءُ علم ءُ صلاحیت گوں جوڑ بوتگیں قابل تکنیکی خصوصیتاں دار انت۔ Serpentine Seasons Animated Video ءِ سنجیدگی ءِ سببا عزت کنگ بیت ءُ آ زندگی ءِ معیار ءَ بہتری آرگ ءِ پہ جوڑ کنگ بوتگ کہ جہان ءَ جوانتر جاگہ جوڑ کنگ ءَ مدد کنت۔

Behind the Design

Press Kit

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

Unique Properties
This AI-generated video integrates the legendary White Snake with the 24 Solar Terms, creating a unique fusion of Chinese mythology and traditional timekeeping. Utilizing advanced AI visual synthesis, the design captures the poetic rhythm of nature, presenting dynamic seasonal transitions through the lens of folklore. Its innovation lies in blending cultural heritage with cutting-edge technology, offering an immersive and visually stunning interpretation of time and transformation.
Dimensions & Packaging
This is a digital video project with no physical dimensions. It is optimized for standard video display formats, including 4K resolution. The video duration is approximately 6 minutes, with each section aligning with a specific Solar Term, seamlessly transitioning between them. The project utilizes AI-driven video generation, ensuring smooth integration of the cultural narrative and seasonal shifts, tailored for presentation on digital platforms and multimedia exhibitions.
Tags
AIGC, White Snake, 24 Solar Terms, Chinese culture, folklore, generative art, digital storytelling, seasonal transitions, style transfer, cultural innovation
Production Technology
We adopt the technologies of Text-to-Video and Style Transfer to ensure that the images not only possess Eastern aesthetics but also conform to the characteristics of the solar terms. The AI tools we use include Midjourney (text-to-image) and runway (image-to-video), among others.
Design Challenge
The main challenge lay in blending traditional cultural narratives with cutting-edge AI technology. Balancing the integrity of the White Snake legend with the technical demands of AI-driven storytelling required careful cultural research and innovative thinking. External challenges included limited AI tools capable of translating the complexity of seasonal transitions into a cohesive narrative, while internal obstacles involved aligning the visual and emotional tone of the project with the original folklore’s themes of love and transformation.
Research
Type of Research: Design Research
Research Objectives: To explore how AI can be used to reimagine traditional folklore in a contemporary digital medium.
Methodology: A combination of AI video generation, style transfer, and cultural analysis was employed to develop the design.
Data Collection and Research Tools: AI modeling software, video editing tools, and cultural research databases.
Participants or Experiments: The research involved collaboration with digital artists and AI specialists.
Results: A seamless integration of traditional folklore with modern AI technology, creating an immersive digital experience.
Insights and Impacts: The project demonstrates the potential of AI in preserving and transforming cultural heritage in innovative ways, with implications for the future of digital storytelling and design.
Effect in Real-Life Phenomena: The project contributes to the discourse on digital culture and the role of AI in cultural preservation, impacting both artistic practices and public engagement with folklore.
Inspiration
Inspired by the legend of the White Snake and the 24 Solar Terms, this project seeks to explore the intersection of mythology, nature, and time. Drawing from traditional Chinese philosophy, it visualizes seasonal transformations through AI-generated imagery, merging folklore with technology. Rooted in research on computational creativity and cultural storytelling, this work reinterprets ancient narratives using modern digital techniques, offering a novel perspective on tradition and innovation.
Project Duration
The project started in October 2024 in China and finished in March 2025 in China.
Operation Flow
The video flows in a nonlinear narrative, where the White Snake interacts with the changing seasons represented by the 24 Solar Terms. As the seasons progress, the environment adapts, with the character's emotions and actions shifting in response to the natural world. The interaction between AI and cultural symbols enhances the depth of storytelling, offering viewers an evolving experience where each transition aligns with the thematic shifts of the Solar Terms.
Team Members
Xiaotong Guan
Leijing Zhou
Xinmiao Shen
Xiaofei Gong
Menghan Li
Jinjie Li
Qianyi Wang
Zihan Zhang

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