Yalin Wang द्वारा निर्मित Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला अत्यन्त प्रतिष्ठित 2026 A' Design Award कांस्य पुरस्कार को जेनेरेटिभ, एल्गोरिदमिक, प्यारामेट्रिक र एआई-सहायित डिजाइन प्रतिस्पर्धा श्रेणीमा अत्यधिक सम्मानित विजेता हो।
कांस्यजेनेरेटिभ· 2026
Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला
Yalin Wang द्वारा
ग्राहक: Yalin Wang
जेनेरेटिभ श्रेणीमा A' Design Award कांस्य पुरस्कार विजेता
प्रमाणित पुरस्कार विजेता
#177508 को पुरस्कार स्थिति प्रमाणित गर्नुहोस्डिजाइन
Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला बारेमा
एल्गोरिदमिक फ्लेश सांस्कृतिक सम्पदाको प्रस्तुतीकरणका लागि सिर्जना गरिएको एक अन्तरक्रियात्मक स्थापना कला हो। यस स्थापनाले सहभागीको वास्तविक-समयको शारीरिक चालहरूलाई ट्र्याक गर्दछ र उक्त चाल डेटालाई जेनेरेटिभ कृत्रिम बुद्धिमत्ता प्रणालीको इनपुटको रूपमा प्रयोग गर्दछ। यो प्रणाली दुनहुआङ भित्तेचित्रहरूका तस्बिरहरूमा प्रशिक्षित छ र ठूलो प्रोजेक्सनमा गतिमा रहेको एक दिव्य नर्तकी उत्पन्न गर्दछ। जब कुनै मुद्रा अभिलेखित भित्तेचित्रको मुद्रासँग मेल खान्छ, सहभागीको छायाकृति नर्तकीमा रूपान्तरण हुन्छ। यसको उद्देश्य स्थिर अभिलेखलाई साझा र जीवन्त अनुभवमा परिणत गर्नु हो।
मान्यता
A' Design Award कांस्य पुरस्कार बारेमा
Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला A' Design Award कांस्य पुरस्कारको विजेता हो, सृजनशीलता, चातुर्य र सूझबुझले विशिष्ट उत्कृष्ट डिजाइनहरूलाई दिइने उच्च प्रतिष्ठाको मान्यता। कांस्य विजेताहरू कुशल र उल्लेखनीय रूपमा सृजनशील कृतिहरू हुन्, जसले डिजाइनरहरूको व्यापक अनुभव, कल्पनाशक्ति र साधनसम्पन्नता पुष्टि गर्छन्। Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला उच्च सम्मानित, प्रशंसित र प्रिय वस्तु, उल्लेखनीय रूपमा व्यावसायिक र नवीन, बन्नेछ भन्ने अपेक्षा छ। Algorithmic Flesh अन्तरक्रियात्मक स्थापना कला ले आवश्यकता उत्कृष्ट रूपमा पूरा गर्छ, इच्छालाई छुन्छ र जिज्ञासा जगाउँछ।
डिजाइनको पछाडि
प्रेस किट
डिजाइनरद्वारा प्रदान गरिएका श्रेय, टोलीका सदस्यहरू र प्राविधिक विवरणहरू।
- अद्वितीय विशेषताहरू
- Algorithmic Flesh is an interactive installation redefining cultural heritage preservation as Generative Revitalization. It introduces Somatic Prompting: bypassing text interfaces, the system uses the participant's real-time physical movements as the generative seed. This somatic input drives a deeply trained AI to computationally hallucinate a dynamic, multi-limbed celestial dancer in real-time, using data from UNESCO Dunhuang murals. The audience becomes active co-creators of a living ritual.
- आयाम र प्याकेजिङ
- As a digital installation, "Algorithmic Flesh" is highly scalable for gallery or museum contexts. The typical setup requires a projection area of at least 3m x 2m (supporting either 16:9 landscape or 9:16 portrait orientation, up to 4K resolution) and a participant interaction zone 3-4 meters from the screen.
- ट्यागहरू
- Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
- उत्पादन प्रविधि
- Algorithmic Flesh uses a custom, closed-loop machine learning pipeline within ComfyUI. Real-time, markerless biomechanical tracking is achieved via OpenCV, MediaPipe, and YOLO26. Visual synthesis is driven by a FLUX LoRA model, fine-tuned on Tang Dynasty Dunhuang murals for absolute aesthetic fidelity. Temporal coherence is managed by Wan 2.2 Mixture-of-Experts video architecture, while the Google Veo 3 API provides cinematic spatiotemporal synthesis and native, physics-based audio generation.
- डिजाइन चुनौती
- The primary challenge was epistemological: How to reconstruct the dynamic, anti-gravitational flight of ancient murals in a virtual space without reducing them to lifeless 2D data? We emphasize not replacing the physical UNESCO Mogao Caves with a simulation, but speculating on new representation models. We challenge the passive museum dynamic, proposing an interactive framework where human flesh computationally hallucinates and sustains the continuous flow of a broken historical lineage.
- अनुसन्धान
- This research addresses the loss of kinesthetic knowledge in static cultural heritage by introducing a Generative Revitalization framework. Pioneering somatic prompting, the project explores how a participant's body guides a generative AI without text. The machine, trained on Dunhuang mural archives, computationally generates lost transitional movements between ancient poses. This offers a new perspective on digital materiality, transforming a passive archive into an embodied, co-interpretive ritual.
- प्रेरणा
- How can we reawaken a dance frozen in stone for a millennium? Traditional digital preservation secures visual fidelity but flat-lines the dynamic essence of the Dunhuang Apsara murals into static maps—a Crisis of Stasis. Inspired by Heimkehren (returning home) and Buddhist philosophies of Anitya (Impermanence) and Pratityasamutpada (Interdependence), the design treats machine intelligence as a collaborator, celebrating the poetic instability of forms in transition as Digital Epiphanies.
- परियोजना अवधि
- The project was developed over a 10-month period from January to October 2025. The research and technical implementation were conducted in Beijing, China, in affiliation with the Central Academy of Fine Arts.
- सञ्चालन प्रवाह
- A participant stands before the projection. Instantly, a "Cosmic Telemetry" UI tracks their skeletal data in real-time. As they move, the system calculates their posture against a canonical Dunhuang dataset (e.g., "raised_leg_flying [0.96] Mogao Cave 285"). Upon a high-confidence match, this somatic prompt triggers the AI. The UI dissolves, and the user's silhouette morphs into a fluid, hyper-realistic celestial dancer, transforming the viewer into a co-creator of a living ritual.
- पेटेन्टहरू
- Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
- छवि क्रेडिटहरू
- Image #1: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #2: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #3: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #4: Creator Yalin Wang, Algorithmic Flesh, 2025.
Image #5: Creator Yalin Wang, Algorithmic Flesh, 2025.
Video Credits: Creator Yalin Wang, Algorithmic Flesh, 2025.
प्रायोजित
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