Algorithmic Flesh Interaktívna inštalácia od Yalin Wang

Dizajn Algorithmic Flesh Interaktívna inštalácia od dizajnéra Yalin Wang je vysoko uznávaným víťazom veľmi prestížneho ocenenia 2026 Bronzová cena A' Design Award v súťažnej kategórii Generatívny dizajn.

BronzováGeneratívny dizajn· 2026

Algorithmic Flesh Interaktívna inštalácia

od Yalin Wang

Klient: Yalin Wang

Víťaz ocenenia Bronzová cena A' Design Award v kategórii Generatívny dizajn

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Dizajn

O dizajne Algorithmic Flesh Interaktívna inštalácia

Algorithmic Flesh je interaktívna inštalácia vytvorená na prezentáciu kultúrneho dedičstva. Inštalácia sleduje pohyby tela účastníka v reálnom čase a využíva pohybové dáta ako vstup pre generatívny systém umelej inteligencie. Systém je natrénovaný na obrazoch nástenných malieb z Tun-chuangu a na veľkej projekcii generuje nebeskú tanečnicu v pohybe. Keď sa postoj účastníka zhoduje so zaznamenanou pózou z nástennej maľby, jeho silueta sa premení na tanečnicu. Cieľom je premeniť statický archív na zdieľaný a živý zážitok.

Ocenenie

O ocenení Bronzová cena A' Design Award

Algorithmic Flesh Interaktívna inštalácia je laureát Bronzovej ceny A' Design Award, vysoko prestížneho uznania udeľovaného vynikajúcim dizajnom, ktoré sa vyznačujú kreativitou, vynaliezavosťou a bystrosťou. Laureáti Bronzovej ceny sú plne zručné a nápadne kreatívne artefakty, ktoré potvrdzujú rozsiahle skúsenosti, predstavivosť a zdatnosť svojich dizajnérov. Od Algorithmic Flesh Interaktívna inštalácia sa očakáva, že bude vysoko cenený, obdivovaný a milovaný predmet, pozoruhodne profesionálny a inovatívny. Tento dizajn ocenený Bronzovou cenou A' Design Award zahŕňa najlepšie postupy v umení, vede, dizajne a technológii a vyniká pozornosťou k detailom. Algorithmic Flesh Interaktívna inštalácia skvele uspokojuje potreby, dotýka sa túžob, očarúva city a vzbudzuje zvedavosť.

Za dizajnom

Tlačový kit

Kredity, členovia tímu a technické údaje poskytnuté dizajnérom.

Jedinečné vlastnosti: 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.
Rozmery a balenie: 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.
Štítky: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Výrobná technológia: 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.
Dizajnérska výzva: 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.
Výskum: 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.
Inšpirácia: 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.
Trvanie projektu: 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.
Pracovný postup: 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.
Patenty: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Zdroje obrázkov: 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.