Algorithmic Flesh Suiteáil Idirghníomhach le Yalin Wang

Is buaiteoir an-mheasúil den ghradam fíor-ardghradamach 2026 Duais Cré-umha A' Design Award sa Chatagóir Comórtais Dearadh Giniúnach é an dearadh Algorithmic Flesh Suiteáil Idirghníomhach le Yalin Wang.

Cré-umhaGiniúnach· 2026

Algorithmic Flesh Suiteáil Idirghníomhach

le Yalin Wang

Cliant: Yalin Wang

Buaiteoir an ghradaim Duais Cré-umha A' Design Award sa Chatagóir Giniúnach

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Buaiteoir Gradaim Fíoraithe

Fíoraigh Stádas Gradaim do #177508

Tabhair Cuairt ar an Suíomh Féach ag A' Design Award Preasráiteas Suaitheantas Gradaim

Dathanna

An Dearadh

Maidir le Algorithmic Flesh Suiteáil Idirghníomhach

Is suiteáil idirghníomhach í Algorithmic Flesh a cruthaíodh chun oidhreacht chultúrtha a chur i láthair. Rianaíonn an tsuiteáil gluaiseachtaí coirp rannpháirtí i bhfíor-am agus úsáideann sí na sonraí gluaiseachta mar ionchur do chóras giniúnach intleachta saorga. Tá an córas oilte ar íomhánna de mhúrmhaisiú Dunhuang agus gineann sé damhsóir neamhaí ag gluaiseacht ar theilgean mór. Nuair a mheaitseálann staidiúir le pós múrmhaisithe atá taifeadta, athraítear scáthchruth an rannpháirtí ina dhamhsóir. Is é an aidhm cartlann statach a iompú ina heispéireas comhroinnte agus beo.

An Aitheantas

Maidir leis an Duais Cré-umha A' Design Award

Bhuaigh an dearadh Algorithmic Flesh Suiteáil Idirghníomhach Duais Cré-umha A' Design Award, aitheantas an-ghradamach a bhronntar ar dhearaí sármhaithe a mbíonn cruthaitheacht, aireagacht agus géarchúis mar shaintréithe acu. Is déantúsáin ghlic agus chruthaitheacha go suntasach iad buaiteoirí Cré-umha a dhearbhaíonn taithí fhairsing, samhlaíocht agus acmhainneacht a ndearthóirí. Táthar ag súil go mbeidh an dearadh Algorithmic Flesh Suiteáil Idirghníomhach ina rud a bhfuil an-mheas air, a n-ardaítear agus a ghráitear, atá thar a bheith gairmiúil agus nuálach. Ionchorpraíonn an dearadh seo a bhuaigh Duais Cré-umha A' Design Award na cleachtais is fearr san ealaín, san eolaíocht, sa dearadh agus sa teicneolaíocht, agus tá sé sármhaith as a aird ar mhionsonraí. Sásaíonn an dearadh Algorithmic Flesh Suiteáil Idirghníomhach riachtanais go hálainn, bainíonn sé le mianta, cuireann sé draíocht ar mhothúcháin agus tarraingíonn sé fiosracht.

Taobh Thiar den Dearadh

Pacáiste Preasa

Creidiúintí, baill foirne agus sonraí teicniúla curtha ar fáil ag an dearthóir.

Airíonna Uathúla: 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.
Toisí & Pacáistiú: 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.
Clibeanna: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Teicneolaíocht Táirgthe: 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.
Dúshlán Deartha: 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.
Taighde: 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.
Inspioráid: 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.
Fad an Tionscadail: 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.
Sreabhadh Oibríochta: 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.
Paitinní: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Creidiúintí Íomhá: 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.