Algorithmic Flesh Shigarwa Mai Mu'amala daga Yalin Wang

Zane Algorithmic Flesh Shigarwa Mai Mu'amala daga Yalin Wang mai nasara ne mai daraja sosai na 2026 Kyautar A' Design Award ta Tagulla a Rukunin Gasar Ƙirƙira ta Kwamfuta.

TagullaƘirƙira ta Kwamfuta· 2026

Algorithmic Flesh Shigarwa Mai Mu'amala

daga Yalin Wang

Abokin Ciniki: Yalin Wang

Mai Nasarar Kyautar A' Design Award ta Tagulla a Rukunin Ƙirƙira ta Kwamfuta

12,432

Mai Nasara da Aka Tabbatar

Tabbatar da Matsayin Kyauta na #177508

Ziyarci Shafin Duba a A' Design Award Sanarwar Manema Labarai Alamar Kyauta

Launuka

Ƙirar

Game da Algorithmic Flesh Shigarwa Mai Mu'amala

Algorithmic Flesh wani shigarwa ne mai mu'amala da aka ƙirƙira don gabatar da al'adun gargajiya. Shigarwan yana bin diddigin motsin jikin mahalarci a ainihin lokaci kuma yana amfani da bayanan motsin a matsayin abin shigarwa ga tsarin fasahar ƙirƙira ta wucin gadi. An horar da tsarin ne da hotunan zane-zanen bango na Dunhuang kuma yana samar da wata mai rawa ta samaniya cikin motsi a kan babban allon nunawa. Idan yanayin tsayuwar jiki ya yi daidai da wani salon zane-zanen bango da aka rubuta, sai a mayar da hoton inuwar mahalarcin zuwa mai rawar. Manufar ita ce a mayar da tarihin ajiya mara motsi zuwa gogewa mai rai da za a raba tare.

Amincewa

Game da Kyautar A' Design Award ta Tagulla

Zanen Algorithmic Flesh Shigarwa Mai Mu'amala ya lashe Kyautar A' Design Award ta Tagulla, wata karramawa mai tsananin daraja da ake bai wa zane-zane na musamman waɗanda ke da ƙirƙira, basira da hikima. Waɗanda suka lashe kyautar Tagulla kayayyakin fasaha ne masu ƙwarewa da ƙirƙira mai ban mamaki waɗanda ke tabbatar da babban gogewa, tunani da dabarun masu zanensu. Ana sa ran zanen Algorithmic Flesh Shigarwa Mai Mu'amala ya zama abu da ake girmamawa sosai, ake sha'awa da ƙauna, mai ƙwarewa da ƙirƙire-ƙirƙire. Wannan zane da ya lashe Kyautar A' Design Award ta Tagulla yana haɗa mafi kyawun ayyuka a fasaha, kimiyya, zane da fasahar zamani, kuma yana da kyau saboda kulawarsa ga cikakkun bayanai. Zanen Algorithmic Flesh Shigarwa Mai Mu'amala yana biyan buƙatu da kyau, yana taɓa sha'awa, yana jan hankalin zukata kuma yana jawo sha'awar sani.

Bayan Ƙirar

Kayan Manema Labarai

Bayanin ƙungiyar, membobinta da cikakkun bayanai na fasaha da mai ƙirar ya bayar.

Siffofi Na Musamman: 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.
Girma da Fakitin: 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.
Kalmomin Alama: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Fasahar Samarwa: 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.
Ƙalubalen Zane: 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.
Bincike: 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.
Wahayi: 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.
Tsawon Lokacin Aikin: 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.
Tsarin Aiki: 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.
Haƙƙoƙin Ƙirƙira: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Godiyar Hotuna: 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.