Algorithmic Flesh Instalasi Interaktif ku Yalin Wang

Karya Algorithmic Flesh Instalasi Interaktif ku Yalin Wang nyaéta pamenang anu dihormat pisan tina 2026 A' Design Award Perunggu anu bergengsi dina Katégori Kompetisi Géneratif.

PerungguGéneratif· 2026

Algorithmic Flesh Instalasi Interaktif

ku Yalin Wang

Klién: Yalin Wang

Pamenang A' Design Award Perunggu dina Katégori Géneratif

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Désain

Ngeunaan Algorithmic Flesh Instalasi Interaktif

Algorithmic Flesh nyaéta hiji instalasi interaktif anu dijieun pikeun midangkeun warisan budaya. Instalasi ieu ngalacak gerakan awak partisipan sacara real-time sarta ngagunakeun data gerakan éta salaku input pikeun sistem kecerdasan buatan generatif. Sistem ieu dilatih ku gambar-gambar mural Dunhuang sarta ngahasilkeun penari kahyangan anu keur usik dina proyéksi badag. Nalika hiji sikep awak cocog jeung pose mural anu geus kacatet, siluét partisipan dirobah jadi penari éta. Tujuanana nyaéta ngarobah arsip statis jadi pangalaman anu hirup tur bisa dibagikeun babarengan.

Pangakuan

Ngeunaan A' Design Award Perunggu

Algorithmic Flesh Instalasi Interaktif mangrupa juara A' Design Award Perunggu, pangakuan anu pohara bergengsi anu dipasihkeun ka desain unggul anu dicirikeun ku kréativitas, kacerdikan jeung kawaspadaan. Para juara Perunggu téh artéfak anu lobaan kaahlian jeung kréatif pisan anu ngabuktikeun pangalaman anu lega, imajinasi jeung kacerdasan para désainerna. Algorithmic Flesh Instalasi Interaktif diharepkeun jadi objék anu dihargaan, dikagumi jeung dipikanyaah anu profésional jeung inovatif. Desain juara A' Design Award Perunggu ieu ngalebetkeun prakték pangalusna dina seni, élmu, desain jeung téknologi, sarta unggul dina perhatian kana détail. Algorithmic Flesh Instalasi Interaktif minuhan kabutuhan kalayan éndah, nyentuh kahayang, nyenangkeun rasa, jeung narik rasa panasaran.

Di Balik Désain

Kit Pers

Krédit, anggota tim sareng detil téknis anu disayogikeun ku désainer.

Sipat Unik: 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.
Diménsi & Bungkusan: 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.
Tag: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Téknologi Produksi: 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.
Tantangan Desain: 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.
Panalungtikan: 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.
Inspirasi: 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.
Durasi Proyék: 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.
Alur Operasi: 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.
Patén: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Krédit Gambar: 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.