Algorithmic Flesh Nrụnye Mmekọrịta nke Yalin Wang

Ihe emepụtara bụ Algorithmic Flesh Nrụnye Mmekọrịta nke Yalin Wang bụ onye meriri a na-asọpụrụ nke ukwuu nke 2026 Ihe Nrite A' Design Award nke Bronz na Udi Asọmpi Nhazi Mmeputaime, Algọridim, Paramịtrịk na Enyemaka AI.

BronzMmeputaime· 2026

Algorithmic Flesh Nrụnye Mmekọrịta

nke Yalin Wang

Onye Ahịa: Yalin Wang

Onye Meriri Ihe Nrite A' Design Award nke Bronz na Udi Mmeputaime

12,432

Onye Meriri Onyinye A Kwadoro

Nyochaa Ọnọdụ Onyinye maka #177508

Gaa Saịtị Lee na A' Design Award Akụkọ Mgbasa Ozi Akara Onyinye

Agba

Nhazi a

Maka Algorithmic Flesh Nrụnye Mmekọrịta

Algorithmic Flesh bụ nrụnye mmekọrịta e mepụtara maka ngosipụta nke ihe nketa omenala. Nrụnye a na-esochi mmegharị ahụ nke onye sonyere na ozugbo ma na-eji data mmegharị ahụ dịka ihe ntinye maka usoro ọgụgụ isi arụrụ arụ na-emepụta ihe. A zụrụ usoro a n'onyonyo nke eserese mgbidi Dunhuang, ọ na-emepụtakwa onye na-agba egwú nke eluigwe na-emegharị ahụ na nnukwu ihe ngosi. Mgbe ọnọdụ ahụ dabara na ọnọdụ eserese mgbidi e dekọrọ, a na-agbanwe onyinyo onye sonyere ka ọ bụrụ onye na-agba egwú ahụ. Ebumnobi ya bụ ịgbanwe ebe nchekwa na-adịghị emegharị ahụ ka ọ bụrụ ahụmịhe a na-ekekọrịta ma dị ndụ.

Nkwanye Ugwu

Maka Ihe Nrite A' Design Award nke Bronz

Algorithmic Flesh Nrụnye Mmekọrịta meriri A' Design Award nke Bronz, nnabata dị oke ugwu e nyere design ndị pụtara ìhè nke a ma ama maka nzụlite ihe, ọgụgụ isi na nghọta. Ndị meriri na Bronz bụ ihe e mere nke ndị nwere nka nke ukwuu ma dị mma n'imepụta nke na-egosi ahụmahụ buru ibu, echiche na ọgụgụ isi nke ndị designer ha. A na-atụ anya na Algorithmic Flesh Nrụnye Mmekọrịta ga-abụ ihe a na-asọpụrụ nke ukwuu, a na-eto na a hụrụ n'anya, nke dị oke ọrụ ma dị ọhụrụ. Design a meriri A' Design Award nke Bronz na-agụnye ụzọ kacha mma n'ime nka, sayensị, design na teknụzụ, ma dị mma nke ukwuu maka nlebara anya ya n'obere ihe. Algorithmic Flesh Nrụnye Mmekọrịta na-emezu mkpa nke ọma, na-emetụ ọchịchọ aka, na-adọrọ mmetụta obi ma na-adọta ọchịchọ ịmara.

N'azụ Nhazi a

Ngwugwu Mgbasa Ozi

Nkwurịta okwu, ndị otu na nkọwa teknụzụ nke onye nhazi nyere.

Àgwà Pụrụ Iche: 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.
Nha & Mkpuchi: 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.
Mkpado: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Teknụzụ Mmepụta: 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.
Ịma Aka Imepụta: 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.
Nchọpụta: 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.
Mkpali: 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.
Oge Ọrụ: 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.
Usoro Ọrụ: 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.
Patentị: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Asụsụ Foto: 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.