Algorithmic Flesh Stàladh Eadar-ghnìomhach le Yalin Wang

Tha Algorithmic Flesh Stàladh Eadar-ghnìomhach le Yalin Wang na bhuannaiche air leth urramach anns an fharpais chliùitich 2026 Duais Umha A' Design Award ann an Roinn Farpais Dealbhadh Gineadach, Algairimach, Parameatrach agus le Taic AI.

UmhaGineadach· 2026

Algorithmic Flesh Stàladh Eadar-ghnìomhach

le Yalin Wang

Neach-ceannach: Yalin Wang

Buannaiche Duais Umha A' Design Award ann an Roinn Gineadach

12,432

Buannaiche Duais Dearbhaichte

Dearbhaich Inbhe na Duaise airson #177508

Tadhail air an Làrach Seall aig A' Design Award Brath Naidheachd Suaicheantas Duaise

Dathan

An Dealbhadh

Mu dheidhinn Algorithmic Flesh Stàladh Eadar-ghnìomhach

Is e stàladh eadar-ghnìomhach a th' ann an Algorithmic Flesh a chaidh a chruthachadh airson dualchas cultarail a thaisbeanadh. Bidh an stàladh a' leantainn gluasadan bodhaig neach-compàirt ann am fìor-àm agus a' cleachdadh dàta a' ghluasaid mar chur-a-steach do shiostam inntleachd fuadain gineadach. Tha an siostam air a thrèanadh air ìomhaighean de bhalla-dhealbhan Dunhuang agus bidh e a' gineadh dannsair nèamhaidh a' gluasad air proiseactadh mòr. Nuair a fhreagras suidheachadh bodhaig ri dreach clàraichte bho na balla-dhealbhan, thèid sgàil-riochd an neach-compàirt atharrachadh gu bhith na dhannsair. Is e an t-amas tasglann sheasmhach a thionndadh gu eòlas beò a thèid a cho-roinn.

An Aithneachadh

Mu dheidhinn Duais Umha A' Design Award

Tha Algorithmic Flesh Stàladh Eadar-ghnìomhach air Duais Umha A' Design Award a bhuannachadh, aithneachadh gu math urramach a bheirear do dhealbhaidhean sònraichte a tha air an comharrachadh le cruthachalachd, innleachd agus geurchuis. Tha buannaichean Umha nan obraichean gu math sgileil agus gu sònraichte cruthachail a dhearbhas eòlas farsaing, mac-meanmna agus tapachd an luchd-dealbhaidh. Thathar an dùil gum bi Algorithmic Flesh Stàladh Eadar-ghnìomhach na nì air a bheil mòran meas, ion-mholta agus gràdhach, a tha gu sònraichte proifeiseanta agus ùr-ghnàthach. Tha an dealbhadh seo a bhuannaich Duais Umha A' Design Award a' cur nan cleachdaidhean as fheàrr ann an ealain, saidheans, dealbhadh agus teicneolas an gnìomh, agus tha e sàr-mhath airson an aire do mhion-fhiosrachadh. Bidh Algorithmic Flesh Stàladh Eadar-ghnìomhach a' sàsachadh fheumalachdan gu h-iongantach, a' suathadh ri miannan, a' tàladh faireachdainnean agus a' togail fiosrachd.

Air Cùl an Dealbhaidh

Pasgan Naidheachd

Creideasan, buill sgioba agus fiosrachadh teicnigeach a chuir an dealbhaiche ri chèile.

Feartan Sònraichte: 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.
Tomhasan & Pacadh: 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.
Tagaichean: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Teicneòlas Cinneasachaidh: 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.
Dùbhlan Dealbhaidh: 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.
Rannsachadh: 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.
Brosnachadh: 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.
Faid a' Phròiseict: 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.
Sruth Obrachaidh: 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.
Peutantan: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Creideasan Dhealbhan: 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.