Serpentine Seasons Hreyfimynd eftir Leijing Zhou

Hönnunarverkið Serpentine Seasons Hreyfimynd eftir Leijing Zhou er hávirt verðlaunaverk sem hlaut hin virtu 2025 A' Design Award í járni verðlaun í keppnisflokknum Myndandi, reikniritslega, stikuð og gervigreindarstuðla hönnun.

JárnMyndandi· 2025

Serpentine Seasons Hreyfimynd

eftir Leijing Zhou

Viðskiptavinur: Zhejiang University

Handhafi A' Design Award í járni í flokknum Myndandi

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Skoða hjá A' Design Award Fréttatilkynning Verðlaunamerki

Litir

Hönnunin

Um Serpentine Seasons Hreyfimynd

Serpentine Seasons er hreyfimynd búin til með gervigreind. Verkið endursegir kínversku þjóðsöguna um Hvíta höggorminn í gegnum sólarhringana 24, hefðbundið kerfi til að merkja árið. Hver hluti sex mínútna myndbandsins er tengdur einu sólartímabili og senurnar breytast eftir því sem árstíðirnar líða áfram. Myndirnar voru framleiddar með texta-í-myndband kynslóð og stílflutningi, sem viðhalda austrænum sjónrænum stíl. Serpentine Seasons sýnir hvernig gervigreind getur miðlað menningararfi með stafrænni frásagnarlist.

Viðurkenningin

Um A' Design Award í járni

Serpentine Seasons Hreyfimynd vann A' Design Award í járni, virta viðurkenningu sem veitt er góðum hönnunarverkum sem uppfylla þær faglegu og iðnaðarlegu kröfur sem gerðar eru til vel hannaðra sköpunarverka. Sigurvegarar í járni sýna mikla færni, mikla sérhæfingu, sérfræðiskilning og skapandi getu höfunda sinna. Þess er vænst að Serpentine Seasons Hreyfimynd sé mjög metið, dáð og elskað sköpunarverk sem er hagnýtt og nýstárlegt. Þetta hönnunarverk sem vann A' Design Award í járni sameinar bestu starfsvenjur greinarinnar og hefur hæfa tæknilega eiginleika tengda þekkingu og hæfileikum. Serpentine Seasons Hreyfimynd er virt fyrir nákvæmni sína og er hannað til að veita lífsgæðabætur sem hjálpa til við að gera heiminn að betri stað.

Á bak við hönnunina

Fjölmiðlapakki

Heimildir, hópmeðlimir og tæknilegar upplýsingar frá hönnuðinum.

Einstakar eiginleikar: 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.
Stærðir og umbúðir: 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.
Merki: AIGC, White Snake, 24 Solar Terms, Chinese culture, folklore, generative art, digital storytelling, seasonal transitions, style transfer, cultural innovation
Framleiðslutækni: 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.
Hönnunaráskorun: 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.
Rannsóknir: 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.
Innblástur: 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.
Lengd verkefnis: The project started in October 2024 in China and finished in March 2025 in China.
Verkflæði: 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.
Liðsmenn: Xiaotong Guan
Leijing Zhou
Xinmiao Shen
Xiaofei Gong
Menghan Li
Jinjie Li
Qianyi Wang
Zihan Zhang