Yalin Wang tomonidan Algorithmic Flesh Interaktiv Installyatsiya

Yalin Wang tomonidan yaratilgan Algorithmic Flesh Interaktiv Installyatsiya — Generativ, Algoritmik, Parametrik va Sun'iy Intellekt Yordamida Dizayn tanlov toifasida nufuzli 2026 A' Design Award Bronza Mukofoti mukofotining yuqori baholangan g'olibidir.

BronzaGenerativ· 2026

Algorithmic Flesh Interaktiv Installyatsiya

muallif: Yalin Wang

Mijoz: Yalin Wang

Generativ toifasida A' Design Award Bronza Mukofoti g'olibi

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Tasdiqlangan mukofot g'olibi

#177508 uchun mukofot holatini tasdiqlash

Saytga tashrif A' Design Award saytida ko'rish Press-reliz Mukofot nishoni

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Dizayn

Algorithmic Flesh Interaktiv Installyatsiya haqida

Algorithmic Flesh — madaniy merosni namoyish etish uchun yaratilgan interaktiv installyatsiyadir. Installyatsiya ishtirokchining tana harakatlarini real vaqt rejimida kuzatib boradi va harakat ma'lumotlarini generativ sun'iy intellekt tizimi uchun kirish ma'lumoti sifatida ishlatadi. Tizim Dunxuan devoriy suratlari tasvirlarida o'qitilgan bo'lib, katta proyeksiyada harakatlanayotgan samoviy raqqosani yaratadi. Ishtirokchining holati devoriy suratda qayd etilgan holatga mos kelganda, uning silueti raqqosaga aylanadi. Maqsad — statik arxivni umumiy va jonli tajribaga aylantirishdir.

Tan olinish

A' Design Award Bronza Mukofoti haqida

Algorithmic Flesh Interaktiv Installyatsiya A' Design Award Bronza Mukofotining g‘olibi bo‘lib, bu ijodkorlik, zukkolik va topqirlik bilan ajralib turuvchi a’lo dizaynlarga beriladigan o‘ta nufuzli e’tirofdir. Bronza g‘oliblari o‘z dizaynerlarining keng tajribasi, tasavvuri va topqirligini tasdiqlovchi juda mohir va hayratlanarli darajada ijodiy buyumlardir. Algorithmic Flesh Interaktiv Installyatsiya yuqori qadrlanadigan, hayrat bilan qaraladigan va suyukli, diqqatga sazovor darajada kasbiy va innovatsion buyum bo‘lishi kutiladi. A' Design Award Bronza Mukofotini qo‘lga kiritgan ushbu dizayn san’at, fan, dizayn va texnologiyadagi eng yaxshi amaliyotlarni o‘zida mujassam etadi va tafsilotlarga e’tibori bilan a’lodir. Algorithmic Flesh Interaktiv Installyatsiya ehtiyojlarni go‘zal qondiradi, istaklarga tegadi, tuyg‘ularni maftun etadi va qiziqishni jalb qiladi.

Dizayn ortida

Press-kit

Dizayner tomonidan taqdim etilgan kreditlar, jamoa a'zolari va texnik tafsilotlar.

Noyob xususiyatlar: 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.
O'lchamlar va qadoqlash: 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.
Teglar: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
Ishlab chiqarish texnologiyasi: 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.
Dizayn muammosi: 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.
Tadqiqot: 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.
Ilhom: 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.
Loyiha muddati: 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.
Ish jarayoni: 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.
Patentlar: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
Rasm mualliflari: 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.