Algorithmic Flesh Dametirandinا کارلێککەر لەلایەن Yalin Wang

دیزاینی Algorithmic Flesh Dametirandinا کارلێککەر لەلایەن Yalin Wang خەڵاتگرێکی بەناوبانگی خەڵاتی شکۆمەندی 2026 Xelata A' Design Award a Tuncîn لە پۆلی پێشبڕکێی Dîzayna Afirandî, Algorîtmîk, Parametrîk û bi Alîkariya AI-ê.

TuncAfirandî· 2026

Algorithmic Flesh Dametirandinا کارلێککەر

لەلایەن Yalin Wang

کڕیار: Yalin Wang

خەڵاتگری Xelata A' Design Award a Tuncîn لە پۆلی Afirandî

11,682

خەڵاتگری پشتڕاستکراو

پشتڕاستکردنەوەی باری خەڵات بۆ #177508

سەردانی ماڵپەڕ بینین لە A' Design Award ڕاگەیاندنی چاپەمەنی نیشانەی خەڵات

ڕەنگەکان

دیزاینەکە

دەربارەی Algorithmic Flesh Dametirandinا کارلێککەر

گۆشتی ئەلگۆریتمی دامەزراندنێکی کارلێککەرە کە بۆ پێشکەشکردنی میراتی کولتووری دروستکراوە. ئەم دامەزراندنە جوڵەکانی جەستەی بەشداربووێک لە کاتی ڕاستەقینەدا بەدوادادەچێت و داتای جوڵەکان وەک تێخستە (input) بۆ سیستەمێکی زیرەکی دەستکردی بەرهەمهێنەر بەکاردەهێنێت. سیستەمەکە لەسەر وێنەکانی دیوارنیگارەکانی دونهوانگ ڕاهێنراوە و سەماکەرێکی ئاسمانی لە جوڵەدا لەسەر پرۆژەیەکی گەورەی ڕووناکی دروستدەکات. کاتێک وەستانێک لەگەڵ وەستانێکی تۆمارکراوی دیوارنیگارەکە یەکدەگرێتەوە، سێبەری بەشداربووەکە دەگۆڕدرێت بۆ سەماکەرەکە. ئامانج ئەوەیە کە ئەرشیفێکی وەستاو بگۆڕدرێت بۆ ئەزموونێکی هاوبەش و زیندوو.

پێناسەکردن

دەربارەی Xelata A' Design Award a Tuncîn

Algorithmic Flesh Dametirandinا کارلێککەر xelatgirê Xelata A' Design Award a Tuncîn e, nasîneke pir bi prestîj ku ji sêwiranên berbiçav ên bi afirînerî, jêhatîbûn û zîrekiyê têne cudakirin re tê dayîn. Xelatgirên Tuncînê karên bi têra xwe jêhatî û bi awayekî balkêş afirîner in, yên ku ezmûna fireh, xeyal û çareserkirina sêwiranerên xwe piştrast dikin. Tê hêvîkirin ku Algorithmic Flesh Dametirandinا کارلێککەر tiştekî pir hatiye rêzgirtin, sitayişkirin û delal be, bi awayekî berbiçav pîşekar û nûjen. Ev sêwirana bi Tuncînê serketî pratîkên çêtirîn ên huner, zanist, sêwiran û teknolojiyê digire nav xwe û ji bo baldariya li hûrgiliyan hêja ye. Algorithmic Flesh Dametirandinا کارلێککەر pêdiviyan bi rengekî xweş tîne cih, destê xwe dide daxwazan, hestan dihejîne û meraqê dikişîne.

لە پشت دیزاینەوە

کیتی چاپەمەنی

باوەڕپێکراوەکان، ئەندامانی تیم و وردەکاری تەکنیکی کە لەلایەن دیزاینەرەوە پێشکەش کراون.

تایبەتمەندییە تایبەتەکان: 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.
قەبارە و پاکێج: 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.
تاگەکان: Generative AI, Embodied Interaction, Digital Ritual, Cultural Heritage, Human-AI Co-Interpretation, Somatic Prompting, Interactive Art Installation, Dunhuang Murals, Algorithmic Art, Cultural Computing, Choreography
تەکنەلۆژیای بەرهەمهێنان: 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.
هەڵەنگاندنی دیزاین: 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.
توێژینەوە: 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.
ئیلهام: 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.
ماوەی پڕۆژە: 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.
ڕێڕەوی کارکردن: 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.
پەتێنتەکان: Copyrights belong to Yalin Wang, 2025. All algorithms and visual outputs are original research generated for academic and artistic purposes at CAFA.
کرێدیتی وێنەکان: 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.