Designen Serpentine Seasons Animerad video av Leijing Zhou är en högt ansedd vinnare av den mycket prestigefyllda 2025 A' Design Award i Järn i tävlingskategorin Generativ, Algoritmisk, Parametrisk och AI-assisterad Design.
JärnGenerativ· 2025
Serpentine Seasons Animerad video
av Leijing Zhou
Klient: Zhejiang University
Vinnare av A' Design Award i Järn i kategorin Generativ
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Om Serpentine Seasons Animerad video
Bokstext: Serpentine Seasons är en animerad video skapad med artificiell intelligens. Verket återberättar den kinesiska legenden om den vita ormen genom de 24 solartermerna, ett traditionellt system för att markera årets gång. Varje del av den sex minuter långa videon är kopplad till en solartermin, och scenerna förändras allt eftersom årstiderna fortskrider. Bilderna skapades med text-till-video-generering och stilöverföring, vilket bevarar en östasiatisk visuell stil. Serpentine Seasons visar hur artificiell intelligens kan förmedla kulturarv genom digitalt berättande.
Erkännandet
Om A' Design Award i Järn
Serpentine Seasons Animerad video är vinnare av A' Design Award i Järn, ett prestigefyllt erkännande som tilldelas bra designverk som uppfyller de professionella och industriella krav som förväntas av välgjorda skapelser. Järnvinnare visar stor skicklighet, hög specialisering, expertförståelse och skaparnas kreativa förmåga. Serpentine Seasons Animerad video förväntas vara en högt skattad, beundrad och älskad skapelse som är praktisk och innovativ. Detta vinnande verk i A' Design Award i Järn integrerar branschens bästa praxis och har kompetenta tekniska egenskaper kopplade till kunnande och talang. Serpentine Seasons Animerad video respekteras för sin grundlighet och är utformat för att åstadkomma förbättringar av livskvaliteten som hjälper till att göra världen till en bättre plats.
Bakom designen
Presskit
Erkännanden, teammedlemmar och tekniska detaljer tillhandahållna av designern.
- Unika egenskaper
- 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.
- Dimensioner & förpackning
- 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.
- Taggar
- AIGC, White Snake, 24 Solar Terms, Chinese culture, folklore, generative art, digital storytelling, seasonal transitions, style transfer, cultural innovation
- Produktionsteknik
- 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.
- Designutmaning
- 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.
- Forskning
- 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.
- Projektlängd
- The project started in October 2024 in China and finished in March 2025 in China.
- Arbetsflöde
- 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.
- Teammedlemmar
- Xiaotong Guan
Leijing Zhou
Xinmiao Shen
Xiaofei Gong
Menghan Li
Jinjie Li
Qianyi Wang
Zihan Zhang
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