D(A)NTE’S (I)NFERNO RAPPRESENTAZIONE DELL’INFERNO DANTESCO ATTRAVERSO TECNICHE DI DISEGNO INTEGRATO A.I. E PARAMETRICO

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Title: D(A)NTE’S (I)NFERNO RAPPRESENTAZIONE DELL’INFERNO DANTESCO ATTRAVERSO TECNICHE DI DISEGNO INTEGRATO A.I. E PARAMETRICO
Authors: Alessandro Basso, Caterina Palestini, Giovanni Rasetti, Maurizio Perticarini
Publisher Information: Arthistoricum of the Heidelberg University Library, 2025.
Publication Year: 2025
Subject Terms: AI remodelling, VR, Dante, Cultural Heritage, Real time Rendering
Description: The Divine Comedy is a narrative work of great imaginative power in which Dante Alighieri conveys otherworldly scenarios that come to life in an extremely vivid way; its description has offered artists in every historical period an inexhaustible source of inspiration, prompting them to capture the visual and symbolic essence of Dante's work. The proposed research aims to recover the diagrammatic tradition, transporting it to the contemporary through the use of artificial intelligence technologies and parametric drawing to reconstitute a virtual model of Dante's inferno. Text-to-image (DallE3, Midjourney, KreaAI, Flux, Stable Diffusion), text-to-3d (LumbasAI, Luma AI Genie) and image-to-3d (Rodin AI, 3DFY, Meshy, Alpha3D) AIs will be used synergistically to model Dante's territory. AI-generated images trained with input models derived from Dante's iconography, making use of text-to-image/image-to-image algorithms, will serve as a 3D matrix to generate semi-three-dimensional structures that will generate backdrops and soils, while Image-to-3d algorithms will provide three-dimensional elements that will be recomposed into the circles through generative processes and traditional 3D modeling and arranged through algorithmic-procedural methodologies.
Document Type: Conference object
Language: English
Access URL: https://hdl.handle.net/11564/857413
Accession Number: edsair.od.....10367..f3f8906a5d7ef44f25985d72bdedd7ea
Database: OpenAIRE
Description
Abstract:The Divine Comedy is a narrative work of great imaginative power in which Dante Alighieri conveys otherworldly scenarios that come to life in an extremely vivid way; its description has offered artists in every historical period an inexhaustible source of inspiration, prompting them to capture the visual and symbolic essence of Dante's work. The proposed research aims to recover the diagrammatic tradition, transporting it to the contemporary through the use of artificial intelligence technologies and parametric drawing to reconstitute a virtual model of Dante's inferno. Text-to-image (DallE3, Midjourney, KreaAI, Flux, Stable Diffusion), text-to-3d (LumbasAI, Luma AI Genie) and image-to-3d (Rodin AI, 3DFY, Meshy, Alpha3D) AIs will be used synergistically to model Dante's territory. AI-generated images trained with input models derived from Dante's iconography, making use of text-to-image/image-to-image algorithms, will serve as a 3D matrix to generate semi-three-dimensional structures that will generate backdrops and soils, while Image-to-3d algorithms will provide three-dimensional elements that will be recomposed into the circles through generative processes and traditional 3D modeling and arranged through algorithmic-procedural methodologies.