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Algorithmic Flesh Whakaturanga Pāhekoheko by Yalin Wang
Algorithmic Flesh Whakaturanga Pāhekoheko by Yalin Wang
Algorithmic Flesh Whakaturanga Pāhekoheko by Yalin Wang
Algorithmic Flesh Whakaturanga Pāhekoheko by Yalin Wang
Algorithmic Flesh Whakaturanga Pāhekoheko by Yalin Wang

Parahi Hoahoa Hanga · 2026

Algorithmic Flesh Whakaturanga Pāhekoheko

by Yalin Wang

  • A' Design Award Parahi 2026 in Hoahoa Hanga
  • CLIENT: Yalin Wang
  • Estimated Number of Design Views: 11,682
  • Verification code D68179C4CC · Verify this award
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About Algorithmic Flesh Whakaturanga Pāhekoheko

He whakaturanga pāhekoheko a Algorithmic Flesh i hangaia hei whakaatu i ngā taonga tuku iho ahurea. Ka aroturuki te whakaturanga i ngā nekehanga tinana o te kaiuru i te wā tonu, ā, ka whakamahia ngā raraunga nekehanga hei tāuru mō tētahi pūnaha atamai hangahanga whakaputa. Kua whakangungua te pūnaha ki ngā whakaahua o ngā peita pakitara o Dunhuang, ā, ka whakaputa i tētahi kaikanikani tiretiera e nekeneke ana i runga i tētahi whakaata nui. Ina ōrite tētahi tū ki tētahi tū peita pakitara kua hopukina, ka hurihia te āhua atarangi o te kaiuru hei taua kaikanikani. Ko te whāinga kia huri i tētahi pūranga tū tonu hei wheako ora e tiritahitia ana.

About the A' Design Award Parahi

Ko Algorithmic Flesh Whakaturanga Pāhekoheko te toa o te A' Design Award Parahi, he whakaaetanga tino whai mana e hoatu ana ki ngā hoahoa kōeke e tohua ana mā te auaha, te mahi mōhio me te whakaaro hōhonu. Ko ngā toa Parahi he mahi pukenga e rite ana, he auaha mīharo, e whakatūturu ana i te wheako nui, te whakaaro me te mōhio-ā-ringa o ā rātou kaihoahoa. E tūmanakohia ana ko Algorithmic Flesh Whakaturanga Pāhekoheko he taonga whakanuia, whakamīharotia, aroha nui, he ngaio, he auaha hoki. Ko tēnei hoahoa i toa i te Parahi e whakauru ana i ngā tikanga pai rawa i te toi, te pūtaiao, te hoahoa me te hangarau, ā, he tino mīharo ki ngā taipitopito. Ka whakatutuki a Algorithmic Flesh Whakaturanga Pāhekoheko i ngā hiahia, ka pā ki ngā hiahia, ka whakaoho i ngā kare-ā-roto, ā, ka kume i te pākiki.

Press Kit

Unique Properties
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.
Dimensions & Packaging
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.
Tags
Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Production Technology
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.
Design Challenge
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.
Research
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.
Inspiration
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.
Project Duration
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.
Operation Flow
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.
Patents
Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Image Credits
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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