Algorithmic Flesh Interaktivna instalacija od Yalin Wang

Dizajn Algorithmic Flesh Interaktivna instalacija od dizajnera Yalin Wang je visoko cijenjeni dobitnik prestižne nagrade 2026 Brončana nagrada A' Design Award u kategoriji Generativni, Algoritmički, Parametarski i AI-Potpomognuti Dizajn.

BronzaGenerativni· 2026

Algorithmic Flesh Interaktivna instalacija

autor Yalin Wang

Klijent: Yalin Wang

Dobitnik nagrade Brončana nagrada A' Design Award u kategoriji Generativni

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Dizajn

O dizajnu Algorithmic Flesh Interaktivna instalacija

Algorithmic Flesh je interaktivna instalacija stvorena za predstavljanje kulturnog naslijeđa. Instalacija prati pokrete tijela učesnika u stvarnom vremenu i koristi podatke o pokretu kao ulaz za generativni sistem umjetne inteligencije. Sistem je treniran na slikama murala iz Dunhuanga i generiše nebesku plesačicu u pokretu na velikoj projekciji. Kada položaj tijela odgovara zabilježenoj pozi s murala, silueta učesnika se transformiše u plesačicu. Cilj je pretvoriti statični arhiv u zajedničko i živo iskustvo.

Priznanje

O nagradi Brončana nagrada A' Design Award

Algorithmic Flesh Interaktivna instalacija je pobjednik Brončane nagrade A' Design Award, visoko prestižnog priznanja koje se dodjeljuje izvanrednim dizajnima što se odlikuju kreativnošću, domišljatošću i oštroumnošću. Brončani pobjednici izdašno su vješti i upečatljivo kreativni artefakti koji potvrđuju golemo iskustvo, maštu i snalažljivost svojih dizajnera. Očekuje se da Algorithmic Flesh Interaktivna instalacija bude visoko cijenjen, voljen i njegovan predmet koji je izuzetno profesionalan i inovativan. Ovaj dizajn koji je osvojio Brončanu nagradu A' Design Award uključuje najbolje prakse u umjetnosti, nauci, dizajnu i tehnologiji i izvrstan je zbog pažnje posvećene detaljima. Algorithmic Flesh Interaktivna instalacija sjajno zadovoljava potrebe, dotiče želje, očarava osjećaje i privlači znatiželju.

Iza dizajna

Press komplet

Zasluge, članovi tima i tehnički detalji koje je dostavio dizajner.

Jedinstvena svojstva: 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.
Dimenzije i pakovanje: 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.
Oznake: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Tehnologija proizvodnje: 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.
Dizajnerski izazov: 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.
Istraživanje: 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.
Inspiracija: 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.
Trajanje projekta: 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.
Tok rada: 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.
Patenti: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Autorstvo slika: 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.