Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi e Yalin Wang

O le mamanu Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi e Yalin Wang o se manumalo maualuga tele o le fa'ailoga mamalu 2026 A' Design Award Apamemea i le Vaega Tauva Mamanu Fa'atupu.

ApamemeaMamanu Fa'atupu· 2026

Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi

na mamanuina e Yalin Wang

Tagata Fa'atau: Yalin Wang

Manumalo o le A' Design Award Apamemea i le Vaega Mamanu Fa'atupu

12,432

Manumalo Fa'ailoga Fa'amaonia

Fa'amaonia le Tulaga o le Fa'ailoga mo #177508

Asiasi i le Saite Va'ai i le A' Design Award Fa'asalalauga Pailesi o le Fa'ailoga

Lanu

Le Mamanu

E Uiga ia Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi

O le Algorithmic Flesh o se faʻapipiʻiga fegalegaleaʻi na faia mo le faʻaalia o measina faʻaleaganuʻu. E siaki e le faʻapipiʻiga gaioiga o le tino o le tagata auai i le taimi moni, ma faʻaaogaina faʻamaumauga o gaioiga e fai ma faʻamatalaga ulufale mo se faiga atamai faʻakomepiuta e mafai ona fatuina ata fou. Ua aʻoaʻoina le faiga i ata o atavali puipui o Dunhuang, ma e fatuina ai se tagata siva faʻalelagi o loʻo gaoioi i luga o se faʻaaliga tele. A fetaui se tulaga o le tino ma se foliga siva ua faʻamaumauina mai atavali puipui, e liua le ata o le tagata auai i le tagata siva. O le sini ia liua se faleteuoloa tumau o measina i se aafiaga faʻasoa ma ola.

Le Fa'ailogaina

E Uiga i le A' Design Award Apamemea

O le A' Design Award Apamemea na manumalo ai Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi, o se faamaoniga matuā mamalu e tuuina atu i mamanu ese e iloga i le fatufatuaʻi, le atamai ma le poto. O ē manumalo i le Apamemea o mea e iai le tomai atoa ma fatufatuaʻi mataʻina e faamaonia ai le poto masani tele, le mafaufau ma le atamai o tagata mamanu. E faamoemoeina Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi e avea ma mea e vivii tele, ua pelepelea, e iloga i le tomai faapolofesa ma mea fou. O lenei mamanu na manumalo i le A' Design Award Apamemea e tuufaatasia ai faiga sili i le faatufugaga, saienisi, mamanu ma tekonolosi ma e sili ona lelei i le mataituina o mea itiiti. Algorithmic Flesh Faʻapipiʻiga Fegalegaleaʻi e faamalieina matagofie manaʻoga, pa i manaʻo, faalataina lagona ma faaosofia le fia iloa.

I Tua o le Mamanu

Pepa Fa'asalalau

Fa'amaoniaga, sui o le 'au ma fa'amatalaga fa'atekinisi na saunia e le tagata mamanu.

Uiga Fa'apitoa: 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.
Fua & Fa'apipi'i: 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.
Fa'ailoga: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Tekonolosi Gaosiga: 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.
Lu'itau o le Mamanu: 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.
Su'esu'ega: 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.
Fa'aosofia: 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.
Umi o le Poloketi: 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.
Fa'agasologa o Galuega: 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.
Pateni: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Fa'aaloaloga o Ata: 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.