Algorithmic Flesh Gosodiad Rhyngweithiol gan Yalin Wang

Mae Algorithmic Flesh Gosodiad Rhyngweithiol gan Yalin Wang yn enillydd uchel ei barch o'r 2026 Gwobr Efydd A' Design Award mawreddog iawn yng Nghategori Cystadleuaeth Cynhyrchiol.

EfyddCynhyrchiol· 2026

Algorithmic Flesh Gosodiad Rhyngweithiol

gan Yalin Wang

Cleient: Yalin Wang

Enillydd Gwobr Efydd A' Design Award yn y Categori Cynhyrchiol

11,682

Enillydd Gwobr Wedi'i Wirio

Gwirio Statws Gwobr ar gyfer #177508

Ymweld â'r Wefan Gweld yn A' Design Award Datganiad i'r Wasg Bathodyn Gwobr

Lliwiau

Y Dyluniad

Am Algorithmic Flesh Gosodiad Rhyngweithiol

Mae Algorithmic Flesh yn osodiad rhyngweithiol a grëwyd ar gyfer cyflwyno treftadaeth ddiwylliannol. Mae'r gosodiad yn olrhain symudiadau corff cyfranogwr mewn amser real ac yn defnyddio'r data symud fel mewnbwn ar gyfer system deallusrwydd artiffisial cynhyrchiol. Mae'r system wedi'i hyfforddi ar ddelweddau o furluniau Dunhuang ac yn cynhyrchu dawnsiwr nefol mewn symudiad ar dafluniad mawr. Pan fydd osgo yn cyfateb i osgo murlun a gofnodwyd, caiff silwét y cyfranogwr ei drawsnewid yn ddawnsiwr. Y nod yw troi archif statig yn brofiad byw a rennir.

Y Gydnabyddiaeth

Am y Gwobr Efydd A' Design Award

Mae Algorithmic Flesh Gosodiad Rhyngweithiol yn enillydd Gwobr Efydd A' Design Award, cydnabyddiaeth hynod fawreddog a roddir i ddyluniadau rhagorol sydd yn nodedig am greadigrwydd, dyfeisgarwch a chraffter. Mae enillwyr Efydd yn arteffactau medrus iawn a thrawiadol o greadigol sydd yn dilysu profiad helaeth, dychymyg a dyfeisgarwch eu dylunwyr. Disgwylir i Algorithmic Flesh Gosodiad Rhyngweithiol fod yn wrthrych uchel ei fri, a edmygir ac a anwylir, sydd yn nodedig o broffesiynol ac arloesol. Mae'r dyluniad buddugol hwn o Wobr Efydd A' Design Award yn ymgorffori arferion gorau mewn celf, gwyddoniaeth, dylunio a thechnoleg, ac yn rhagorol am ei sylw i fanylion. Mae Algorithmic Flesh Gosodiad Rhyngweithiol yn bodloni anghenion yn odidog, yn cyffwrdd â dyheadau, yn swyno teimladau ac yn apelio at chwilfrydedd.

Y Tu Ôl i'r Dyluniad

Pecyn i'r Wasg

Credydau, aelodau tîm a manylion technegol a ddarparwyd gan y dylunydd.

Priodweddau Unigryw: 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.
Dimensiynau a Phecynnu: 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.
Tagiau: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Technoleg Cynhyrchu: 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.
Her Dylunio: 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.
Ymchwil: 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.
Ysbrydoliaeth: 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.
Hyd y Prosiect: 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.
Llif Gweithrediad: 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.
Patentau: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Cydnabyddiaeth Delweddau: 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.