Algorithmic Flesh Fametrahana Ifandraisana nataon'i Yalin Wang

Ny endrika Algorithmic Flesh Fametrahana Ifandraisana nataon'i Yalin Wang dia mpandresy sarobidy amin'ny 2026 A' Design Award Varahina amin'ny Sokajin'ny Fifanintsanana Famolavolana Generativa, Algoritmika, Parametrika ary Ampian'ny AI.

VarahinaGenerativa· 2026

Algorithmic Flesh Fametrahana Ifandraisana

nataon'i Yalin Wang

Mpanjifa: Yalin Wang

Mpandresy A' Design Award Varahina amin'ny Sokajy Generativa

12,432

Mpandresy Loka Voamarina

Hanamarina ny Sata Loka ho an'ny #177508

Tsidiho ny Tranonkala Jereo ao amin'ny A' Design Award Fanambarana ho an'ny Mpanao Gazety Marika Loka

Loko

Ny Endrika

Momba ny Algorithmic Flesh Fametrahana Ifandraisana

Ny Algorithmic Flesh dia fametrahana ifandraisana noforonina ho an'ny fampisehoana ny lova ara-kolontsaina. Manara-maso amin'ny fotoana tena izy ny fihetsiky ny vatan'ny mpandray anjara io fametrahana io ary mampiasa ny angon-drakitry ny fihetsika ho fampidirana ho an'ny rafitra faharanitan-tsaina artifisialy mpamorona. Nampiofanina tamin'ny sarin'ny sary hosodoko amin'ny rindrin'i Dunhuang io rafitra io ary mamorona mpandihy any an-danitra mihetsika eo amin'ny fanitarana sary lehibe. Rehefa mifanandrify amin'ny fihetsika voarakitra amin'ny sary hosodoko ny fijoroan'ny mpandray anjara, dia ovaina ho ilay mpandihy ny aloky ny vatany. Ny tanjona dia ny hanova ny arisiva tsy mihetsika ho traikefa iombonana sy velona.

Ny Fankasitrahana

Momba ny A' Design Award Varahina

Nandresy ny A' Design Award Varahina ny famolavolana Algorithmic Flesh Fametrahana Ifandraisana, fankasitrahana malaza be omena ny famolavolana miavaka izay mampiavaka ny fahaiza-mamorona, ny fahazotoana ary ny fahamaotinan-tsaina. Ny mpandresy Varahina dia zavatra vita tanana mahay dia mahay ary mamorona mivantana izay manamafy ny traikefa be dia be, ny sarintsaina ary ny fahaizan-kafoy an'ny mpamolavola azy. Andrasana ho zavatra ankasitrahana be, ankafizina ary tiana, mahay amin'ny asa sady vaovao ny famolavolana Algorithmic Flesh Fametrahana Ifandraisana. Ity famolavolana nandresy ny A' Design Award Varahina ity dia mitahiry ny fomba fanao tsara indrindra amin'ny zavakanto, ny siansa, ny famolavolana ary ny teknolojia, ary tsara indrindra amin'ny fitandremana ny antsipirihany. Ny famolavolana Algorithmic Flesh Fametrahana Ifandraisana dia mahafa-po ny filana tsara, mikasika ny faniriana, mahasarika ny fihetseham-po ary misarika ny fahalianana.

Ao Ambadiky ny Endrika

Fitaovana ho an'ny Mpanao Gazety

Fankasitrahana, mpikambana ao amin'ny ekipa ary antsipiriany teknika nomen'ny mpanao endrika.

Toetra Manokana: 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.
Refy & Fonosana: 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.
Marika: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Teknolojia Famokarana: 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.
Fanamby Endrika: 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.
Fikarohana: 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.
Aingam-panahy: 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.
Faharetan'ny Tetikasa: 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.
Fizotr'asa: 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.
Patanta: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Loharanon-tsary: 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.