Yalin Wang طرفان Algorithmic Flesh انٽرايڪٽو انسٽاليشن انتهائي معتبر 2026 A' Design Award برونز انعام جو فاتح آهي جنريٽو، الگورٿمڪ، پيراميٽرڪ ۽ AI-مددگار ڊيزائن مقابلي جي درجي ۾.
برونزجنريٽو· 2026
Algorithmic Flesh انٽرايڪٽو انسٽاليشن
Yalin Wang طرفان
ڪلائنٽ: Yalin Wang
جنريٽو درجي ۾ A' Design Award برونز انعام فاتح
تصديق ٿيل ايوارڊ فاتح
ڊزائين #177508 لاءِ ايوارڊ جي حيثيت جي تصديق ڪريوڊزائن
Algorithmic Flesh انٽرايڪٽو انسٽاليشن بابت
الگورٿمڪ فليش (Algorithmic Flesh) هڪ انٽرايڪٽو انسٽاليشن آهي جيڪا ثقافتي ورثي جي پيشڪش لاءِ ٺاهي وئي آهي. هي انسٽاليشن شرڪت ڪندڙ جي جسم جي حرڪتن کي حقيقي وقت ۾ ٽريڪ ڪري ٿي ۽ حرڪت جي ڊيٽا کي هڪ جنريٽو آرٽيفيشل انٽيليجنس سسٽم لاءِ اِن پُٽ طور استعمال ڪري ٿي. هي سسٽم دُنهوانگ (Dunhuang) جي ديواري نقاشين جي تصويرن تي تربيت يافته آهي ۽ هڪ وڏي پروجيڪشن تي حرڪت ۾ موجود آسماني رقاصه پيدا ڪري ٿو. جڏهن ڪا جسماني وضع رڪارڊ ٿيل ديواري نقاشيءَ جي پوز سان ملي ٿي، تڏهن شرڪت ڪندڙ جو پاڇو رقاصه ۾ تبديل ٿي وڃي ٿو. هن جو مقصد هڪ جامد آرڪائيو کي هڪ گڏيل ۽ جيئري تجربي ۾ بدلائڻ آهي.
سڃاڻپ
A' Design Award برونز انعام بابت
Algorithmic Flesh انٽرايڪٽو انسٽاليشن A' Design Award برونز انعام جو کٽيندڙ آهي، تمام گهڻو معزز اعتراف جيڪو تخليقيت، اختراع ۽ ذڪاوت سان ممتاز بهترين ڊيزائنن کي ڏنو وڃي ٿو. برونز جا کٽيندڙ ڀرپور مهارت واريون ۽ نمايان طور تخليقي شاهڪار آهن، جيڪي پنهنجي ڊيزائنرن جي وسيع تجربي، تخيل ۽ ڏاهپ جي تصديق ڪن ٿيون. Algorithmic Flesh انٽرايڪٽو انسٽاليشن کان اميد ڪئي وڃي ٿي ته اهو هڪ تمام گهڻو قدر ڪيل، ساراهيل ۽ پيارو شيءِ هوندو، قابل ذڪر حد تائين پيشه ورانه ۽ جدت وارو. هي ڊيزائن جنهن A' Design Award برونز انعام کٽيو آهي، فن، سائنس، ڊيزائن ۽ ٽيڪنالاجي ۾ بهترين طريقا شامل ڪري ٿو ۽ ننڍين تفصيلن ڏانهن ڌيان ڏيڻ ڪري شاندار آهي. Algorithmic Flesh انٽرايڪٽو انسٽاليشن ضرورتون خوبصورتيءَ سان پوريون ڪري ٿو، خواهشن کي ڇهي ٿو، جذبن کي موهي ٿو ۽ تجسس ڇڪي ٿو.
ڊزائن جي پسمنظر
پريس ڪِٽ
ڊزائنر طرفان فراهم ڪيل ڪريڊٽس، ٽيم ميمبرز ۽ ٽيڪنيڪل تفصيلات.
- منفرد خاصيتون
- 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.
- ماپ ۽ پيڪيجنگ
- 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.
- ٽيگ
- Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
- پيداواري ٽيڪنالاجي
- 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.
- ڊزائين چيلينج
- 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.
- تحقيق
- 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.
- الهام
- 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.
- منصوبي جو عرصو
- 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.
- عمل جو فلو
- 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.
- پيٽنٽ
- Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
- تصوير ڪريڊٽ
- 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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