CERAMIC INTELLIGENCE DESIGNING CERAMIC OBJECTS WITH GENERATIVE AI
ARC 452 | KMUTT SoA+D | Semester 1 / 2025-26
Students: Pattaratorn Boonkerd, Lwin Myo Thant, Kavin Kitcharoenyuenyong, Kaung Khant Nyar Kyaw, Sojirat Leenijanont, Udomsuk Manawongsakul, Pann Piryasoponjit, Chatchawat Rodwattanakul, Si Xuan Tan, Krittin Tanjariyaporn, Ye Min Thet, Ye Nyi Thant, Kaung Nyi Thway, Htet Wai Yan
Instructor: Igor Pantic
Teaching Assistant: Thanakorn Suthiapa
Ceramic Intelligence explored the intersection of generative artificial intelligence, digital fabrication, and ceramic making. Working in teams, students used ComfyUI to develop AI-generated visual and spatial studies, beginning with 2D image generation using SDXL and Flux models before translating selected outcomes into 3D meshes through image-to-3D workflows. These digital objects were then curated and refined for ceramic production. The projects were developed through an iterative digital-to-physical process, where AI-generated forms, mesh preparation, fabrication tests, and material experiments continuously informed one another. Rhino and Grasshopper were used to clean and prepare geometry, generate robotic toolpaths, or design CNC-milled moulds for slip-casting. The final ceramic artefacts reflect a dialogue between computational imagination and material behaviour, raising questions about authorship, craft, and the evolving role of the architect in AI-assisted design and making.
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