Algorithmic Flesh Instalasi Interaktif oleh Yalin Wang

Reka bentuk Algorithmic Flesh Instalasi Interaktif oleh Yalin Wang ialah pemenang yang sangat dihormati bagi 2026 A' Design Award Gangsa yang amat berprestij dalam Kategori Pertandingan Reka Bentuk Generatif, Algoritmik, Parametrik dan Berbantu AI.

GangsaGeneratif· 2026

Algorithmic Flesh Instalasi Interaktif

oleh Yalin Wang

Klien: Yalin Wang

Pemenang A' Design Award Gangsa dalam Kategori Generatif

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Pemenang Anugerah Yang Disahkan

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Reka Bentuk

Mengenai Algorithmic Flesh Instalasi Interaktif

Algorithmic Flesh ialah sebuah instalasi interaktif yang dicipta untuk mempersembahkan warisan budaya. Instalasi ini menjejaki pergerakan badan peserta secara masa nyata dan menggunakan data pergerakan tersebut sebagai input kepada sistem kecerdasan buatan generatif. Sistem ini dilatih menggunakan imej-imej mural Dunhuang dan menjana seorang penari cakerawala yang bergerak pada projeksi bersaiz besar. Apabila postur peserta sepadan dengan pose mural yang direkodkan, siluet peserta akan berubah menjadi penari tersebut. Matlamatnya adalah untuk mengubah arkib statik menjadi pengalaman yang dikongsi bersama dan hidup.

Pengiktirafan

Mengenai A' Design Award Gangsa

Algorithmic Flesh Instalasi Interaktif ialah pemenang A' Design Award Gangsa, pengiktirafan yang amat berprestij yang dianugerahkan kepada reka bentuk cemerlang yang dicirikan oleh kreativiti, kecerdikan dan ketajaman fikiran. Pemenang Gangsa ialah artifak yang amat mahir dan sangat kreatif yang membuktikan pengalaman luas, imaginasi dan akal budi pereka bentuknya. Algorithmic Flesh Instalasi Interaktif diharapkan menjadi objek yang sangat dihargai, dikagumi dan disayangi, sangat profesional dan inovatif. Reka bentuk pemenang A' Design Award Gangsa ini merangkumi amalan terbaik dalam seni, sains, reka bentuk dan teknologi, dan cemerlang dalam perhatiannya terhadap butiran. Algorithmic Flesh Instalasi Interaktif memenuhi keperluan dengan indah, menyentuh keinginan, memikat perasaan dan menarik rasa ingin tahu.

Di Sebalik Reka Bentuk

Kit Akhbar

Kredit, ahli pasukan dan butiran teknikal yang disediakan oleh pereka.

Ciri-Ciri 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.
Dimensi & Pembungkusan: 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
Teknologi Pengeluaran: 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.
Cabaran Reka Bentuk: 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.
Penyelidikan: 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.
Tempoh Projek: 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.
Aliran 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.
Paten: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Kredit Imej: 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.