Algorithmic Flesh Ukufakwa Okusebenzisanayo ngu-Yalin Wang

Umdwebo Algorithmic Flesh Ukufakwa Okusebenzisanayo ngu-Yalin Wang ungumnqobi ohlonishwa kakhulu womklomelo odumile we-2026 Umklomelo Webhulonzi we-A' Design Award Esigabeni Somncintiswano se-Okuzenzakalelayo.

IbhulonziOkuzenzakalelayo· 2026

Algorithmic Flesh Ukufakwa Okusebenzisanayo

ngu Yalin Wang

Iklayenti: Yalin Wang

Umnqobi we-Umklomelo Webhulonzi we-A' Design Award Esigabeni se-Okuzenzakalelayo

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Umnqobi Womklomelo Oqinisekisiwe

Qinisekisa Isimo Somklomelo se-#177508

Vakashela Isayithi Buka ku-A' Design Award Isitatimende Sabezindaba Ibheji Yomklomelo

Imibala

Ukuklama

Mayelana ne-Algorithmic Flesh Ukufakwa Okusebenzisanayo

I-Algorithmic Flesh ukufakwa okusebenzisanayo okwakhelwe ukwethulwa kwamagugu amasiko. Lokhu kufakwa kulandelela ukunyakaza komzimba kombambiqhaza ngesikhathi sangempela futhi kusebenzisa idatha yokunyakaza njengokufakwayo ohlelweni lobuhlakani bokwenziwa obukhiqizayo. Uhlelo luqeqeshwe ngezithombe zemidwebo yasodongeni yase-Dunhuang futhi lukhiqiza umdansi wasezulwini onyakazayo ekuboniseni okukhulu. Uma ukuma komzimba kufana nokuma okuqoshiwe komdwebo wasodongeni, isithunzi sombambiqhaza siguqulwa sibe umdansi. Inhloso ukuguqula ingqolobane emile ibe isipiliyoni esabelwana ngaso nesiphilayo.

Ukuqashelwa

Mayelana ne-Umklomelo Webhulonzi we-A' Design Award

Algorithmic Flesh Ukufakwa Okusebenzisanayo iwinile uMklomelo Webhulonzi we-A' Design Award, ukwaziswa okuhloniphekile kakhulu okunikezwa imiklamo ephawulekayo eyehlukaniswa ukudala, ubuhlakani nobukhali bengqondo. Abawinile beBhulonzi yimisebenzi enobuchule obukhulu nedala ngokumangalisayo eqinisekisa isipiliyoni esibanzi, umcabango nobuhlakani babaklami babo. Algorithmic Flesh Ukufakwa Okusebenzisanayo ilindeleke ukuba ibe yinto exatshwa kakhulu, edunyiswayo nethandwayo, enobungcweti obuphawulekayo nezinto ezintsha. Lo mklamo owinile uMklomelo Webhulonzi we-A' Design Award uhlanganisa izindlela ezinhle kakhulu ebuciko, esayensi, ekuklameni nasebuchwepheshe futhi uhamba phambili ngenxa yokunaka kwawo imininingwane. Algorithmic Flesh Ukufakwa Okusebenzisanayo iyanelisa izidingo ngokumangalisayo, ithinta izifiso, iheha imizwa futhi ikhanga ukufuna ukwazi.

Ngemuva Kokuklama

Iphakheji Yabezindaba

Ama-credit, amalungu eqembu nemininingwane yobuchwepheshe ehlinzekwe ngumklami.

Izici Ezihlukile: 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.
Izilinganiso Nokupakisha: 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.
Amathegi: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Ubuchwepheshe Bokukhiqiza: 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.
Inselele Yokudweba: 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.
Ucwaningo: 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.
Ugqozi: 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.
Ubude Bephrojekthi: 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.
Ukuhamba Kokusebenza: 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.
Amapathenti: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Amakhredithi Ezithombe: 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.