Algorithmic Flesh Asbeddi Amyigaw sɣur Yalin Wang

Algorithmic Flesh Asbeddi Amyigaw sɣur Yalin Wang d anerbaz yettwaqadren meqqren n 2026 Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Tnaflit n Afeṣṣel Asniɣes, Alguritman, Aparametran d Win Yettwallalen s AI.

LbrunzAfeṣṣel Asniɣes· 2026

Algorithmic Flesh Asbeddi Amyigaw

sɣur Yalin Wang

Amsaɣ: Yalin Wang

Anerbaz n Tarbaḥt A' Design Award n Lbrunz deg Taggayt n Afeṣṣel Asniɣes

12,432

Anerbaz n Urraz Yettwasenqden

Senqed Addad n Urraz i #177508

Rzu ɣer usmel Wali deg A' Design Award Tabḍert n tɣamsa Tanecḍa n wammud

Initen

Afeṣṣel

Ɣef Algorithmic Flesh Asbeddi Amyigaw

Algorithmic Flesh d asbeddi amyigaw yettwaxedmen i uselken n wagla adelsan. Asbeddi-agi yeṭṭafar imussuyen n tfekka n umttekki srid deg wakud, yesseqdac isefka n umussu am unekcum i unagraw n tmusni tafektant tafarant. Anagraw yettwaselmad ɣef tugniwin n tṛeqqamin n Dunhuang, yessefray-d aceṭṭaḥ igenwan yettembiwilen ɣef usenɛet ameqqran. Mi ara temṣada tbeddit n umttekki d yiwet n tbeddit yettwakelsen seg tṛeqqamt, tili n umttekki tettuɣal d aceṭṭaḥ-nni. Iswi d aselḥu n uɣbar arusmid ɣer termit yeddren i yettwabḍan.

Asmekti

Ɣef Tarbaḥt A' Design Award n Lbrunz

Algorithmic Flesh Asbeddi Amyigaw d amerbaḥ n Tarbaḥt A' Design Award n Lbrunz, tagmat ɛlayen i yisnulfa yelhan, yeṭṭafaren tinawt, tamusni d tezmert. Imerbaḥen n Lbrunz d isnulfa yelhan, ttbanen d timusniwin n tmusni n yimahilen-nsen. Algorithmic Flesh Asbeddi Amyigaw ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Algorithmic Flesh Asbeddi Amyigaw yettemlil ɣef yimawlan, yettwaɛezzen s tmahilt-is.

Deffir n ufeṣṣel

Tagrurt n tɣamsa

Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.

Taɣara Tasuft: 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.
Tigejdiwin & Akemmus: 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.
Tibzimin: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Tasnakta n Ufares: 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.
Asewḥel n Usnulfu: 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.
Anadi: 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.
Aseḥbiber: 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.
Tanzagt n Usenfar: 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.
Tanila n Umahil: 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.
Ibrivan: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Imsuren n Tugniwin: 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.