Lele i ka ʻike
Algorithmic Flesh Hoʻonohonoho Pānaʻi Like na Yalin Wang

ʻO Algorithmic Flesh Hoʻonohonoho Pānaʻi Like na Yalin Wang he mea lanakila hanohano loa o ka 2026 A' Design Award Keleawe ma ka Māhele Hoʻokūkū Hoʻolālā Hoʻohua, ʻAlakaiʻo, Hōʻailona a me AI Kōkua.


KeleaweHoʻohua· 2026

Algorithmic Flesh Hoʻonohonoho Pānaʻi Like

na Yalin Wang

Mea Kūʻai: Yalin Wang

Mea Lanakila A' Design Award Keleawe ma ka Māhele Hoʻohua

12,432

Mea Lanakila i Hōʻoia ʻIa

Hōʻoia i ke Kūlana Makana no #177508

Nā Waihoʻoluʻu

Ka Hoʻolālā

E Pili Ana iā Algorithmic Flesh Hoʻonohonoho Pānaʻi Like

He hoʻonohonoho pānaʻi like ʻo Algorithmic Flesh i hana ʻia no ka hōʻike ʻana i ka hoʻoilina moʻomeheu. Nānā ka hoʻonohonoho i nā neʻe kino o ka mea komo i ka manawa maoli a hoʻohana i ka ʻikepili neʻe ma ke ʻano he mea hoʻokomo no kahi ʻōnaehana naʻauao hana hoʻolālā. Ua aʻo ʻia ka ʻōnaehana ma nā kiʻi o nā kiʻi pena paia ʻo Dunhuang a hoʻopuka i kahi mea hulahula lani e neʻe ana ma kahi kiʻi hoʻolele nui. Ke kūlike ke kūlana kino me kekahi kūlana kiʻi pena paia i hoʻopaʻa ʻia, hoʻololi ʻia ke aka o ka mea komo i ka mea hulahula. ʻO ka pahuhopu, ʻo ia ka hoʻololi ʻana i kahi waihona paʻa i loko o kahi ʻike kaʻana like a ola.

Ka Hoʻomaikai

E Pili Ana i ka A' Design Award Keleawe

Ua lanakila ka hoʻolālā Algorithmic Flesh Hoʻonohonoho Pānaʻi Like i ka A' Design Award Keleawe, he ʻike hoʻohanohano nui loa i hāʻawi ʻia i nā hoʻolālā kūʻokoʻa i ʻike ʻia ma o ka hana noʻeau, ka akamai a me ka makakoho. He mau hana mākaukau a hana noʻeau kupaianaha nā lanakila Keleawe e hōʻoia ana i ka ʻike nui, ka noʻonoʻo a me ka maʻalea o kā lākou poʻe hoʻolālā. Manaʻo ʻia ʻo ka hoʻolālā Algorithmic Flesh Hoʻonohonoho Pānaʻi Like he mea i mahalo nui ʻia, hoʻohiwahiwa ʻia a aloha ʻia, he ʻoihana a hou loa. ʻO kēia hoʻolālā i lanakila i ka A' Design Award Keleawe e hoʻohui ana i nā hana maikaʻi loa o ka hana noʻeau, ka ʻepekema, ka hoʻolālā a me ka ʻenehana, a maikaʻi no kona nānā ʻana i nā kikoʻī. Hoʻokō maikaʻi ka hoʻolālā Algorithmic Flesh Hoʻonohonoho Pānaʻi Like i nā pono, hoʻopā i ka makemake, hoʻohiwahiwa i nā manaʻo a huki i ka makemake e ʻike.

Ma Hope o ka Hoʻolālā

ʻEke Nūhou

Nā hōʻoia, nā lālā hui a me nā kikoʻī ʻenehana i hāʻawi ʻia e ka mea hoʻolālā.

Nā ʻAno Kūʻokoʻa
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.
Nā Ana a me ka Hoʻopili
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.
Nā Lepili
Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
ʻEnehana Hana
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.
Pilikia Hoʻolālā
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.
Noiʻi
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.
Hoʻoulu Manaʻo
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.
Ka Lōʻihi o ka Papahana
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.
Kaʻina Hana
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.
Nā Palapala Kuleana
Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Nā Kuleana Kiʻi
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.

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