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Algorithmic Flesh Ynteraktive Ynstallaasje troch Yalin Wang

Algorithmic Flesh Ynteraktive Ynstallaasje troch Yalin Wang is in heech wurdearre winner fan de tige prestizjeuze 2026 A' Design Award yn Brûns yn de kompetysje-kategory Generatyf, Algoritmysk, Parametrysk en AI-stipe Ûntwerp.


BrûnsGeneratyf· 2026

Algorithmic Flesh Ynteraktive Ynstallaasje

troch Yalin Wang

Klant: Yalin Wang

A' Design Award yn Brûns Winner yn de kategory Generatyf

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It Untwerp

Oer Algorithmic Flesh Ynteraktive Ynstallaasje

Algorithmic Flesh is in ynteraktive ynstallaasje makke foar de presintaasje fan kultureel erfgoed. De ynstallaasje folget de lichemsbewegingen fan in dielnimmer yn realtime en brûkt de bewegingsdata as ynput foar in generatyf keunstmjittich yntelliginsjesysteem. It systeem is traind op ôfbyldings fan Dunhuang-muorreskilderingen en genereart in himelske dûnser yn beweging op in grutte projeksje. As in hâlding oerienkomt mei in fêstleine muorreskildering-poaze, wurdt it silhûet fan de dielnimmer transformearre yn de dûnser. It doel is om in statysk argyf te feroarjen yn in dielde en libbene ûnderfining.

De Erkenning

Oer de A' Design Award yn Brûns

Algorithmic Flesh Ynteraktive Ynstallaasje is in winner fan de A' Design Award yn Brûns, in heech prestisjeuze erkenning foar treflike ûntwerpen dy't har ûnderskiede troch kreativiteit, fernuft en tûkens. Brûnswinners binne tige feardige en opfallend kreative artefakten dy't de grutte ûnderfining, ferbylding en betochtsumens fan har ûntwerpers befêstigje. Fan Algorithmic Flesh Ynteraktive Ynstallaasje wurdt ferwachte dat it in tige heech achte, bewûndere en dierber objekt is dat opmerklik profesjoneel en ynnovatyf is. Dit winnende ûntwerp fan de A' Design Award yn Brûns yntegrearret de bêste praktiken yn keunst, wittenskip, ûntwerp en technology en is treflik om syn omtinken foar detail. Algorithmic Flesh Ynteraktive Ynstallaasje foldocht behoeften prachtich, reitsjet winsken, betsjoeveret gefoelens en sprekt nijsgjirrigens oan.

Efter it Untwerp

Parsepakket

Credits, teamleden en technyske details levere troch de ûntwerper.

Unike Eigenskippen
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.
Ofmjittingen & Ferpakking
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.
Labels
Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Produksjetechnology
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.
Untwerpútdaging
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.
Undersyk
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.
Ynspiraasje
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.
Projektdoer
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.
Operaasjestreamferrin
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.
Patinten
Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Ofbyldingskrediten
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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