Serpentine Seasons Animēts video — Leijing Zhou

Darbs Serpentine Seasons Animēts video, kura autors ir Leijing Zhou, ir augsti novērtēts un ļoti prestižās 2025 Dzelzs balva A' Design Award ieguvējs kategorijā Ģeneratīvais, algoritmiskais, parametriskais un MI atbalstītais dizains.

DzelzsĢeneratīvais· 2025

Serpentine Seasons Animēts video

Autors: Leijing Zhou

Klients: Zhejiang University

Dzelzs balva A' Design Award ieguvējs kategorijā Ģeneratīvais

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Dizains

Par Serpentine Seasons Animēts video

Serpentīnas gadalaiki ir animēts video, kas radīts ar mākslīgā intelekta palīdzību. Darbs no jauna atstāsta ķīniešu leģendu par Balto čūsku, izmantojot 24 saules periodus — tradicionālu gada iedalījuma sistēmu. Katra sešu minūšu garā video daļa ir saistīta ar vienu saules periodu, un ainas mainās līdz ar gadalaiku maiņu. Attēli tika radīti, izmantojot teksta pārvēršanu video un stila pārnesi, saglabājot austrumnieciska stila vizuālo izteiksmi. Serpentīnas gadalaiki parāda, kā mākslīgais intelekts spēj atklāt kultūras mantojumu, izmantojot digitālo stāstniecību.

Atzinība

Par Dzelzs balva A' Design Award

Serpentine Seasons Animēts video ir Dzelzs balvas A' Design Award ieguvējs, prestiža atzinība, ko piešķir labiem dizainiem, kas atbilst profesionālajām un rūpnieciskajām prasībām, kādas sagaidāmas no labi izstrādātiem darbiem. Dzelzs ieguvēji parāda to radītāju lielo prasmi, augsto specializāciju, ekspertu izpratni un radošo spēju. Sagaidāms, ka Serpentine Seasons Animēts video būs augsti vērtēts, apbrīnots un cienīts darbs, praktisks un inovatīvs. Šis ar Dzelzs balvu apbalvotais dizains integrē nozares labāko praksi un tam ir kompetentas tehniskās īpašības, kas saistītas ar zinātību un talantu. Serpentine Seasons Animēts video tiek cienīts par rūpību un ir izstrādāts, lai uzlabotu dzīves kvalitāti un palīdzētu padarīt pasauli labāku.

Aiz dizaina

Preses materiāli

Dizainera sniegtie autori, komandas dalībnieki un tehniskie dati.

Unikālās īpašības: 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.
Izmēri un iepakojums: 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.
Birkas: AIGC, White Snake, 24 Solar Terms, Chinese culture, folklore, generative art, digital storytelling, seasonal transitions, style transfer, cultural innovation
Ražošanas tehnoloģija: 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.
Dizaina izaicinājums: 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.
Pētījums: 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.
Iedvesma: 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.
Projekta ilgums: The project started in October 2024 in China and finished in March 2025 in China.
Darbības plūsma: 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.
Komandas dalībnieki: Xiaotong Guan
Leijing Zhou
Xinmiao Shen
Xiaofei Gong
Menghan Li
Jinjie Li
Qianyi Wang
Zihan Zhang