Yalin Wang ᱨᱮᱱᱟᱜ Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ

Yalin Wang ᱨᱮᱱᱟᱜ Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱫᱚ ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2026 A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾

ᱠᱟᱥᱟᱡᱮᱱᱟᱨᱮᱴᱤᱵ· 2026

Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ

Yalin Wang ᱞᱮᱠᱟᱛᱮ

ᱜᱟᱦᱟᱠ: Yalin Wang

ᱡᱮᱱᱟᱨᱮᱴᱤᱵ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ

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ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ

#177508 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪ

ᱥᱟᱭᱤᱴ ᱧᱮᱞ ᱢᱮ A' Design Award ᱨᱮ ᱧᱮᱞ ᱢᱮ ᱯᱨᱮᱥ ᱨᱤᱞᱤᱡ ᱯᱩᱨᱥᱠᱟᱨ ᱵᱮᱡ

ᱨᱚᱝ

ᱰᱤᱡᱟᱭᱤᱱ

Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ

ᱚᱞᱜᱚᱨᱤᱫᱢᱤᱠ ᱯᱷᱞᱮᱥ (Algorithmic Flesh) ᱫᱚ ᱢᱤᱫ ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱞᱟᱠᱪᱟᱨ ᱟᱨᱤᱪᱟᱹᱞᱤ ᱩᱫᱩᱜ ᱞᱟᱹᱜᱤᱫ ᱛᱮᱭᱟᱨ ᱟᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱫᱚ ᱢᱤᱫ ᱥᱮᱞᱮᱫᱤᱭᱟᱹ ᱨᱮᱭᱟᱜ ᱦᱚᱲᱢᱚ ᱪᱟᱞᱟᱣ ᱫᱚ ᱩᱱ ᱚᱠᱛᱚ ᱨᱮᱜᱮ ᱯᱟᱧᱡᱟᱭᱮᱫᱟ ᱟᱨ ᱚᱱᱟ ᱪᱟᱞᱟᱣ ᱰᱟᱴᱟ ᱫᱚ ᱢᱤᱫ ᱡᱮᱱᱮᱨᱮᱴᱤᱵ ᱟᱨᱴᱤᱯᱷᱤᱥᱤᱭᱟᱞ ᱤᱱᱴᱮᱞᱤᱡᱮᱸᱥ ᱥᱤᱥᱴᱚᱢ ᱨᱮᱭᱟᱜ ᱤᱱᱯᱩᱴ ᱞᱮᱠᱟᱛᱮ ᱵᱮᱵᱷᱟᱨᱮᱫᱟ᱾ ᱱᱚᱶᱟ ᱥᱤᱥᱴᱚᱢ ᱫᱚ ᱫᱩᱱᱦᱩᱣᱟᱝ ᱢᱩᱨᱟᱞ ᱨᱮᱭᱟᱜ ᱪᱤᱛᱟᱹᱨ ᱠᱚ ᱛᱮ ᱥᱤᱠᱷᱟᱹᱣ ᱟᱠᱟᱱᱟ ᱟᱨ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱯᱨᱚᱡᱮᱠᱥᱚᱱ ᱨᱮ ᱢᱤᱫ ᱥᱮᱨᱢᱟ ᱮᱱᱮᱡᱤᱭᱟᱹ ᱪᱟᱞᱟᱣ ᱚᱵᱚᱥᱛᱟ ᱨᱮ ᱛᱮᱭᱟᱨᱮᱫᱟᱭ᱾ ᱡᱩᱫᱤ ᱢᱤᱫ ᱦᱚᱲᱢᱚ ᱴᱷᱮᱸᱜᱟ ᱫᱚ ᱨᱮᱠᱚᱰ ᱟᱠᱟᱱ ᱢᱩᱨᱟᱞ ᱴᱷᱮᱸᱜᱟ ᱥᱟᱶ ᱢᱮᱲᱟᱣᱜᱼᱟ, ᱩᱱ ᱚᱠᱛᱚ ᱨᱮ ᱥᱮᱞᱮᱫᱤᱭᱟᱹ ᱨᱮᱭᱟᱜ ᱪᱷᱟᱭᱟ ᱫᱚ ᱮᱱᱮᱡᱤᱭᱟᱹ ᱨᱮ ᱵᱚᱫᱚᱞᱚᱜᱼᱟ᱾ ᱱᱚᱶᱟ ᱨᱮᱭᱟᱜ ᱩᱫᱮᱥ ᱫᱚ ᱢᱤᱫ ᱛᱷᱤᱨ ᱟᱨᱠᱟᱭᱤᱵ ᱫᱚ ᱢᱤᱫ ᱦᱟᱹᱴᱤᱧ ᱟᱨ ᱡᱤᱭᱚᱱ ᱟᱱᱩᱵᱷᱚᱵ ᱨᱮ ᱵᱚᱫᱚᱞ ᱠᱟᱱᱟ᱾

ᱢᱟᱱᱟᱱ

A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ

Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱠᱟᱥᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱱᱟᱣᱟ ᱵᱷᱟᱵᱱᱟ ᱛᱮ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Algorithmic Flesh ᱤᱱᱴᱚᱨᱮᱠᱴᱤᱵ ᱤᱱᱥᱴᱚᱞᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾

ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ

ᱯᱨᱮᱥ ᱠᱤᱴ

ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾

ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ: 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.
ᱢᱟᱯ ᱟᱨ ᱯᱮᱠᱮᱡᱤᱝ: 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.
ᱴᱮᱜ ᱠᱚ: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ: 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.
ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ: 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.
ᱜᱚᱵᱮᱥᱚᱱᱟ: 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.
ᱯᱨᱮᱨᱚᱱᱟ: 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.
ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ: 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.
ᱠᱟᱹᱢᱤ ᱦᱚᱨ: 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.
ᱯᱮᱴᱮᱱᱴ ᱠᱚ: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
ᱪᱤᱛᱟᱹᱨ ᱥᱟᱹᱦᱟ: 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.