Algorithmic Flesh Instalasi Interaktif oleh Yalin Wang

Karya Algorithmic Flesh Instalasi Interaktif oleh Yalin Wang adalah pemenang yang sangat dihormati dari 2026 A' Design Award Perunggu yang sangat bergengsi dalam Kategori Kompetisi Desain Generatif, Algoritmik, Parametrik dan Berbantuan AI.

PerungguGeneratif· 2026

Algorithmic Flesh Instalasi Interaktif

oleh Yalin Wang

Klien: Yalin Wang

Pemenang A' Design Award Perunggu dalam Kategori Generatif

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Tentang Algorithmic Flesh Instalasi Interaktif

Algorithmic Flesh adalah instalasi interaktif yang diciptakan untuk menyajikan warisan budaya. Instalasi ini melacak gerakan tubuh peserta secara real-time dan menggunakan data gerakan tersebut sebagai masukan bagi sistem kecerdasan buatan generatif. Sistem ini dilatih dengan citra mural Dunhuang dan menghasilkan sosok penari surgawi yang bergerak pada proyeksi berukuran besar. Ketika sebuah postur tubuh selaras dengan pose mural yang terekam, siluet peserta pun bertransformasi menjadi sang penari. Tujuannya adalah mengubah arsip yang statis menjadi pengalaman bersama yang hidup.

Pengakuan

Tentang A' Design Award Perunggu

Algorithmic Flesh Instalasi Interaktif adalah pemenang A' Design Award Perunggu, pengakuan yang sangat bergengsi yang diberikan kepada desain luar biasa yang dicirikan oleh kreativitas, kecerdikan, dan ketajaman. Pemenang Perunggu adalah artefak yang sangat terampil dan sangat kreatif yang membuktikan pengalaman luas, imajinasi, dan kelihaian para desainernya. Algorithmic Flesh Instalasi Interaktif diharapkan menjadi objek yang sangat dihargai, dikagumi, dan dicintai, sangat profesional dan inovatif. Desain pemenang A' Design Award Perunggu ini menyertakan praktik terbaik dalam seni, sains, desain, dan teknologi, dan sangat baik dalam perhatiannya pada detail. Algorithmic Flesh Instalasi Interaktif memuaskan kebutuhan dengan indah, menyentuh keinginan, memikat perasaan, dan menarik rasa ingin tahu.

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Kit Pers

Kredit, anggota tim, dan detail teknis yang disediakan oleh desainer.

Keunikan: 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 & Kemasan: 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 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.
Riset: 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 Proyek: 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.
Paten: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Kredit 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.