Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀ láti ọwọ́ Yalin Wang jẹ́ aṣẹ́gun olókìkí púpọ̀ ti 2026 Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìdíje Àpẹẹrẹ Ìpilẹ̀ṣẹ̀, Àlgọ́rídímù, Párámétrìkì àti Àtìlẹ́yìn-AI.
IdẹÌpilẹ̀ṣẹ̀· 2026
Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀
látọ̀wọ́ Yalin Wang
Oníbàárà: Yalin Wang
Aṣẹ́gun Àmì-ẹ̀yẹ Idẹ A' Design Award nínú Ẹ̀ka Ìpilẹ̀ṣẹ̀
Aṣẹ́gun Àmì Ẹ̀yẹ Tí a Jẹ́rìísí
Jẹ́rìísí Ipò Àmì Ẹ̀yẹ fún #177508Àpẹrẹ Náà
Nípa Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀
Algorithmic Flesh jẹ́ ìfibọ̀sí aládàáṣepọ̀ tí a ṣẹ̀dá fún ìgbékalẹ̀ ogún àṣà ìbílẹ̀. Ìfibọ̀sí náà ń tọpinpin ìṣíṣe ara olùkópa ní àsìkò gidi, ó sì ń lo dátà ìṣíṣe náà gẹ́gẹ́ bí ohun àbáwọlé fún ètò ọgbọ́n atọwọ́dá tí ń pilẹ̀ṣẹ̀ dídá àwòrán. Ètò náà ni a ti kọ́ lórí àwọn àwòrán ara ògiri ti Dunhuang, ó sì ń pilẹ̀ṣẹ̀ oníjó ọ̀run kan tí ń rìn lórí ìtànṣán ńlá. Nígbà tí ìdúró ara bá bá ìdúró àwòrán ara ògiri tí a ti kọ sílẹ̀ mu, òjìji olùkópa yóò yí padà di oníjó náà. Èròǹgbà rẹ̀ ni láti sọ àkójọpọ̀ tí kò yí padà di ìrírí alájọpín àti alààyè.
Ìdánimọ̀ Náà
Nípa Àmì-ẹ̀yẹ Idẹ A' Design Award
Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀ jẹ́ olùborí Àmì-ẹ̀yẹ Idẹ A' Design Award, ìdánimọ̀ olókìkí gan-an tí a fún àwọn àwòṣe tó tayọ tí wọ́n yàtọ̀ nípasẹ̀ ìṣẹ̀dá, àrékérekè àti ọgbọ́n inú. Àwọn olùborí Idẹ jẹ́ àwọn ohun èlò tó ní ìjáfáfá gan-an tí wọ́n sì ní ìṣẹ̀dá tó yani lẹ́nu tí wọ́n ń ṣe ẹ̀rí ìrírí gbígbòòrò, ìrònú àti ọgbọ́n àwọn olùṣàwòṣe wọn. A retí pé Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀ yóò jẹ́ ohun tí a kà sí gidigidi, tí a gbóríyìn fún tí a sì nífẹ̀ẹ́, tó jẹ́ ti ọ̀jáfáfá lọ́nà tó ṣe pàtàkì tó sì ní ìmúṣẹ̀dá tuntun. Àwòṣe tó borí Àmì-ẹ̀yẹ Idẹ A' Design Award yìí ń kó àwọn ọ̀nà tó dára jùlọ nínú iṣẹ́ ọnà, sáyẹ́ǹsì, àwòṣe àti ìmọ̀-ẹ̀rọ jọ, ó sì tayọ nítorí àfiyèsí rẹ̀ sí àwọn àlàyé kékeré. Algorithmic Flesh Ìfibọ̀sí Aládàáṣepọ̀ ń tẹ́ àwọn ohun tí a nílò lọ́rùn lọ́nà àgbàyanu, ó ń fọwọ́ kan àwọn ìfẹ́ inú, ó ń gbà ọkàn ó sì ń fa ìfẹ́ láti mọ̀ mọ́ra.
Lẹ́yìn Àpẹrẹ Náà
Àkójọ Ìròyìn
Àwọn ẹ̀tọ́, àwọn ọmọ ẹgbẹ́ àti àlàyé ìmọ̀ ẹ̀rọ tí olùṣàpẹrẹ pèsè.
- Àwọn Ohun Àkànṣe
- 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.
- Ìwọ̀n àti Àpò
- 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.
- Àwọn Àkọlé
- Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
- Ìmọ̀-ẹ̀rọ Ìṣelọ́pọ̀
- 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.
- Ìpèníjà Àpèsè
- 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.
- Ìwádìí
- 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.
- Ìmísí
- 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.
- Àkókò Iṣẹ́ Àkànṣe
- 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.
- Ìlànà Ìṣiṣẹ́
- 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.
- Àwọn Ìwé-ẹ̀rí Ohun-Ìmọ̀
- Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
- Ìfọwọ́sí Àwòrán
- 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.
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