Algorithmic Flesh Interaktivna instalacija – avtor Yalin Wang

Delo Algorithmic Flesh Interaktivna instalacija avtorja Yalin Wang je izjemno cenjeni dobitnik prestižne nagrade 2026 Bronasta nagrada A' Design Award v tekmovalni kategoriji Generativno, algoritemsko, parametrično in z UI podprto oblikovanje.

BronastaGenerativno· 2026

Algorithmic Flesh Interaktivna instalacija

avtor/ica: Yalin Wang

Naročnik: Yalin Wang

Dobitnik nagrade Bronasta nagrada A' Design Award v kategoriji Generativno

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Preverite status nagrade za #177508

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Dizajn

O dizajnu Algorithmic Flesh Interaktivna instalacija

Algorithmic Flesh je interaktivna instalacija, ustvarjena za predstavitev kulturne dediščine. Instalacija v realnem času sledi telesnim gibom udeleženca in podatke o gibanju uporablja kot vhod za generativni sistem umetne inteligence. Sistem je naučen na slikah stenskih poslikav iz Dunhuanga in na veliki projekciji ustvarja nebeško plesalko v gibanju. Ko se drža ujema z zabeleženo pozo s stenske poslikave, se silhueta udeleženca preobrazi v plesalko. Cilj je statični arhiv spremeniti v skupno in živo izkušnjo.

Priznanje

O nagradi Bronasta nagrada A' Design Award

Algorithmic Flesh Interaktivna instalacija je prejemnik Bronaste nagrade A' Design Award, zelo prestižnega priznanja, ki se podeljuje izjemnim oblikovanjem, ki se odlikujejo po ustvarjalnosti, iznajdljivosti in bistrosti. Prejemniki Bronaste nagrade so v celoti spretni in presenetljivo ustvarjalni artefakti, ki potrjujejo bogate izkušnje, domišljijo in zvitost svojih oblikovalcev. Od Algorithmic Flesh Interaktivna instalacija se pričakuje, da bo visoko cenjen, občudovan in ljubljen predmet, opazno profesionalen in inovativen. To oblikovanje, nagrajeno z Bronasto nagrado A' Design Award, vključuje najboljše prakse v umetnosti, znanosti, oblikovanju in tehnologiji ter je odlično po pozornosti do podrobnosti. Algorithmic Flesh Interaktivna instalacija sijajno zadovoljuje potrebe, se dotika želja, očara čustva in vzbuja radovednost.

V ozadju dizajna

Komplet za medije

Zasluge, člani ekipe in tehnične podrobnosti, ki jih je posredoval oblikovalec.

Edinstvene lastnosti: 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 in embalaža: 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
Proizvodna tehnologija: 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.
Oblikovalski izziv: 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.
Raziskave: 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.
Potek delovanja: 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.
Zasluge za slike: 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.