Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli ītēchcopa Yalin Wang

Tlanāhuatīlli Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli ītēchcopa Yalin Wang cē cencā mahuizzō tēmacēhualōni īpan huēyi 2026 Mahuizolli A' Design Award Bronse īpan Yancuicchihualiztli, Tlapohualiztepoztli, Tlanahuatiltepoztli ihuan Tepoztlalnamiquiliztli-Palehuilli Tlachihchihualiztli Nēhuilīztli Tlamantli.

BronseYancuicchihualiztli· 2026

Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli

īpal Yalin Wang

Tlanāhuatīlli: Yalin Wang

Mahuizolli A' Design Award Bronse Tēmacēhualōni īpan Yancuicchihualiztli Tlamantli

12,432

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #177508

Xiquitta Tlahcuilōlcalli Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli

Algorithmic Flesh ce tlachihualli in motlachiuhqui, omochiuh inic monextiz in huehuetlatquitl icultura. Inin tlachihualli quitlatemoa in inenemiliz itlacayo ce tlacatl ipan niman cahuitl, ihuan quitequitiltia in tlanemiliz tlamatiliztli inic ce tepoztlamatiliztli tlacatiliztli quichihua tlein monextia. Inin tepoztlamatiliztli omomachtili ica in ixiptlahuan in Dunhuang tepantlacuilolli, ihuan quiyocoya ce ilhuicac mitotiani in molinia ipan ce huey tlanextilli. Ihcuac in inetlaliliz in tlacatl monenehuilia ce tepantlacuilolli netlaliliztli in oomicuilo, in itlacayo icehualotl mocuepa in mitotiani. In itlanequiliz inin tlachihualli, ma mocuepa ce mocauhqui tlatquipiyaloyan itech ce yoltoc ihuan cepan nemiliztli.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Bronse

Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli ca in quicuic in Mahuizolli A' Design Award Bronse, hueyi tlamahuizoliztli tlen momaca in cualli tlachihualli in motenehua ipampa yancuic tlamantli, tlamatiliztli ihuan ixtlamatiliztli. In quicuicah Bronse ca tlachihualli in quipia toltecayotl ihuan quinextia in cenca miac nemiliztli ihuan tlamatiliztli intlachihuanime. Ca quinequi in Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli ca tlazohtli tlamantli, mahuiztic ihuan cualli. Ni dizayno in quicuic Bronse quipia cualli toltecayotl ihuan quitta in tlen tepiton. Algorithmic Flesh Tlachihualli in Motlachiuhqui Tlacatiliztli quipaquiltia in tlacah ihuan quitlamahuiztiltia in intlanequiliz.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Huēyiliztli īhuān Tlacualtepēhualli: 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.
Tōcāitl: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Tlachīhualiztli Māchiyōtl: 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.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: 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.
Tēquitl Ōhuitl: 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.
Patentēmeh: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Īxiptla Tlanēxtīlli: 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.