Algorithmic Flesh Interaktyvi instaliacija – autorius Yalin Wang

Darbas Algorithmic Flesh Interaktyvi instaliacija, kurio autorius Yalin Wang, yra itin vertinamas prestižinio 2026 Bronzinis apdovanojimas A' Design Award laimėtojas konkurso kategorijoje Generatyvinis, algoritminis, parametrinis ir DI dizainas.

BronzinisGeneratyvinis· 2026

Algorithmic Flesh Interaktyvi instaliacija

Dizaineris: Yalin Wang

Klientas: Yalin Wang

Kategorijos Generatyvinis laimėtojas – Bronzinis apdovanojimas A' Design Award

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Patvirtintas apdovanojimo laimėtojas

Patikrinti apdovanojimo statusą – #177508

Aplankykite svetainę Peržiūrėti A' Design Award Pranešimas spaudai Apdovanojimo ženklelis

Spalvos

Dizainas

Apie Algorithmic Flesh Interaktyvi instaliacija

„Algorithmic Flesh“ – tai interaktyvi instaliacija, sukurta kultūros paveldo pristatymui. Instaliacija realiuoju laiku seka dalyvio kūno judesius ir naudoja judesio duomenis kaip įvestį generatyvinio dirbtinio intelekto sistemai. Sistema yra apmokyta pagal Dunhuango freskų vaizdus ir didelėje projekcijoje generuoja judančią dangiškąją šokėją. Kai dalyvio poza sutampa su užfiksuota freskos poza, dalyvio siluetas transformuojamas į šokėją. Tikslas – paversti statišką archyvą bendra ir gyva patirtimi.

Pripažinimas

Apie Bronzinis apdovanojimas A' Design Award

Algorithmic Flesh Interaktyvi instaliacija laimėjo Bronzinį apdovanojimą A' Design Award, labai prestižinį pripažinimą, skiriamą išskirtiniams dizainams, kuriuos žymi kūrybiškumas, išradingumas ir sumanumas. Bronzos laureatai yra pakankamai įgudę ir stulbinamai kūrybingi dirbiniai, patvirtinantys jų kūrėjų didelę patirtį, vaizduotę ir išteklių gausą. Tikimasi, kad Algorithmic Flesh Interaktyvi instaliacija bus aukštai vertinamas, žavimas ir brangus daiktas, žymiai profesionalus ir novatoriškas. Šis Bronziniu apdovanojimu įvertintas dizainas įtraukia geriausias praktikas mene, moksle, dizaine ir technologijose ir yra puikus dėl dėmesio detalėms. Algorithmic Flesh Interaktyvi instaliacija puikiai tenkina poreikius, paliečia troškimus, žavi jausmus ir traukia smalsumą.

Už dizaino

Spaudos rinkinys

Dizainerio pateikti kreditai, komandos nariai ir techninė informacija.

Unikalios savybės: 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.
Matmenys ir pakuotė: 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.
Žymos: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Gamybos technologija: 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.
Dizaino iššūkis: 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.
Tyrimas: 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.
Įkvėpimas: 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.
Projekto trukmė: 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.
Veikimo eiga: 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.
Patentai: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Nuotraukų autoriai: 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.