Algorithmic Flesh Interaktiv Installation af Yalin Wang er en højt anset vinder af den meget prestigefyldte 2026 A' Design Award i Bronze i konkurrencekategorien Generativt, Algoritmisk, Parametrisk og AI-assisteret Design.
BronzeGenerativt· 2026
Algorithmic Flesh Interaktiv Installation
af Yalin Wang
Klient: Yalin Wang
Vinder af A' Design Award i Bronze i kategorien Generativt
Verificeret Prisvinder
Verificer Prisstatus for #177508Designet
Om Algorithmic Flesh Interaktiv Installation
Algorithmic Flesh er en interaktiv installation skabt til formidling af kulturarv. Installationen sporer en deltagers kropsbevægelser i realtid og bruger bevægelsesdataene som input til et generativt kunstig intelligens-system. Systemet er trænet på billeder af Dunhuang-vægmalerier og genererer en himmelsk danser i bevægelse på en stor projektion. Når en kropsstilling matcher en registreret positur fra vægmalerierne, forvandles deltagerens silhuet til danseren. Målet er at forvandle et statisk arkiv til en fælles og levende oplevelse.
Anerkendelsen
Om A' Design Award i Bronze
Algorithmic Flesh Interaktiv Installation er vinder af A' Design Award i Bronze, en højt prestigefyldt anerkendelse, der tildeles enestående designs, som udmærker sig ved kreativitet, opfindsomhed og skarpsindighed. Bronzevinderne er rigeligt dygtige og påfaldende kreative artefakter, der bekræfter deres designeres store erfaring, fantasi og snilde. Algorithmic Flesh Interaktiv Installation forventes at være en højt estimeret, beundret og kær genstand, der er bemærkelsesværdigt professionel og innovativ. Dette design, der har vundet A' Design Award i Bronze, indarbejder bedste praksis inden for kunst, videnskab, design og teknologi og er fremragende på grund af sin sans for detaljer. Algorithmic Flesh Interaktiv Installation tilfredsstiller pragtfuldt behov, rører længsler, charmerer følelser og appellerer til nysgerrigheden.
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Pressemappe
Credits, teammedlemmer og tekniske detaljer leveret af designeren.
- Unikke Egenskaber
- 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.
- Dimensioner & Emballage
- 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.
- Tags
- Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
- Produktionsteknologi
- 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.
- Designudfordring
- 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.
- Forskning
- 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.
- Inspiration
- 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.
- Projektvarighed
- 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.
- Driftsflow
- 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.
- Patenter
- Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
- Billedkreditering
- 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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