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Disainilahendus Algorithmic Flesh Interaktiivne installatsioon, autor Yalin Wang

Disainilahendus Algorithmic Flesh Interaktiivne installatsioon, mille autor on Yalin Wang, on kõrgelt hinnatud 2026 auhinna Pronksauhind A' Design Award võitja konkursi kategoorias Generatiivse, algoritmilise, parameetrilise ja tehisintellektiga abistatud disain.


PronksGeneratiivne· 2026

Algorithmic Flesh Interaktiivne installatsioon

disainer: Yalin Wang

Klient: Yalin Wang

Auhind Pronksauhind A' Design Award kategoorias Generatiivne

11,682

Värvid

Disain

Teosest Algorithmic Flesh Interaktiivne installatsioon

Algorithmic Flesh on interaktiivne installatsioon, mis on loodud kultuuripärandi esitlemiseks. Installatsioon jälgib osaleja kehaliigutusi reaalajas ja kasutab liikumisandmeid sisendina generatiivse tehisintellekti süsteemi jaoks. Süsteem on treenitud Dunhuangi seinamaalingute kujutistel ning genereerib suurel projektsioonil liikuva taevase tantsija. Kui kehaasend langeb kokku seinamaalingul jäädvustatud poosiga, muundub osaleja siluett tantsijaks. Eesmärk on muuta staatiline arhiiv jagatud ja elavaks kogemuseks.

Tunnustus

Auhinnast Pronksauhind A' Design Award

Algorithmic Flesh Interaktiivne installatsioon on Pronksauhinna A' Design Award võitja, väga prestiižikas tunnustus, mis antakse silmapaistvatele disainidele, mida iseloomustavad loovus, leidlikkus ja teravmeelsus. Pronksvõitjad on küllaldaselt osavad ja tabavalt loovad teosed, mis kinnitavad oma disainerite laia kogemust, kujutlusvõimet ja leidlikkust. Algorithmic Flesh Interaktiivne installatsioon peaks olema kõrgelt hinnatud, imetletud ja armastatud objekt, mis on märkimisväärselt professionaalne ja uuenduslik. See Pronksauhinna A' Design Award võidudisain ühendab parimaid tavasid kunstis, teaduses, disainis ja tehnoloogias ning on suurepärane oma detailidele pööratud tähelepanu poolest. Algorithmic Flesh Interaktiivne installatsioon rahuldab suurepäraselt vajadusi, puudutab soove, võlub tundeid ja pakub huvi uudishimule.

Disaini taustal

Pressimaterjalid

Disaineri esitatud autorid, meeskonnaliikmed ja tehnilised andmed.

Unikaalsed omadused
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.
Mõõtmed ja pakend
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.
Sildid
Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Tootmistehnoloogia
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.
Disainiülesanne
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.
Uurimistöö
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.
Inspiratsioon
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.
Projekti kestus
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.
Tööprotsess
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.
Patendid
Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Piltide autorid
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.

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