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Algorithmic Flesh Interaktiewe Installasie deur Yalin Wang

Die ontwerp Algorithmic Flesh Interaktiewe Installasie deur Yalin Wang is 'n hoogs gewaardeerde wenner van die baie prestigieuese 2026 A' Design Award in Brons in die Generatiewe, Algoritmiese, Parametriese en KI-Ondersteunde Ontwerp-kompetisiekategorie.


BronsGeneratief· 2026

Algorithmic Flesh Interaktiewe Installasie

deur Yalin Wang

Kliënt: Yalin Wang

Wenner van die A' Design Award in Brons in die Generatief-kategorie

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Verifieer Toekenningsstatus vir #177508

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Die Ontwerp

Oor Algorithmic Flesh Interaktiewe Installasie

Algoritmiese Vlees is 'n interaktiewe installasie wat geskep is vir die aanbieding van kulturele erfenis. Die installasie volg die intydse liggaamsbewegings van 'n deelnemer en gebruik die bewegingsdata as die inset vir 'n generatiewe kunsmatige intelligensie-stelsel. Die stelsel is opgelei op beelde van Dunhuang-muurskilderye en genereer 'n hemelse danser in beweging op 'n groot projeksie. Wanneer 'n postuur ooreenstem met 'n opgetekende muurskildery-pose, word die deelnemer se silhoeët in die danser omskep. Die doel is om 'n statiese argief in 'n gedeelde en lewende ervaring te omskep.

Die Erkenning

Oor die A' Design Award in Brons

Algorithmic Flesh Interaktiewe Installasie is 'n wenner van die A' Design Award in Brons, 'n hoogs prestigieuse erkenning wat toegeken word aan uitstaande ontwerpe wat gekenmerk word deur kreatiwiteit, vindingrykheid en skerpsinnigheid. Wenners in Brons is ruimskoots vaardige en opvallend kreatiewe artefakte wat die groot ervaring, verbeelding en vindingrykheid van hul ontwerpers bevestig. Daar word verwag dat Algorithmic Flesh Interaktiewe Installasie 'n hoog aangeskrewe, bewonderde en gekoesterde voorwerp is wat merkwaardig professioneel en innoverend is. Hierdie ontwerp wat die A' Design Award in Brons gewen het, inkorporeer die beste praktyke in kuns, wetenskap, ontwerp en tegnologie en is uitstekend vanweë sy aandag aan detail. Algorithmic Flesh Interaktiewe Installasie bevredig behoeftes pragtig, raak aan begeertes, bekoor gevoelens en spreek die nuuskierigheid aan.

Agter die Ontwerp

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Unieke Eienskappe
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.
Afmetings & Verpakking
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.
Etikette
Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Produksietegnologie
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.
Ontwerpuitdaging
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.
Navorsing
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.
Inspirasie
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.
Projekduur
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.
Bedryfsvloei
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.
Patente
Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Beeldkrediete
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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