Lamuse: Leveraging Artificial Intelligence for Sparking Inspiration
| Autor: | Lamiroy, Bart, Potier, Emmanuelle |
|---|---|
| Přispěvatelé: | Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC), Université de Reims Champagne-Ardenne (URCA), Tiago Martins, Nereida Rodríguez-Fernández, Sérgio Rebelo |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV] [SHS.ART]Humanities and Social Sciences/Art and art history Neural network applications Art & science collaboration [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] |
| Zdroj: | Lecture Notes in Computer Science Computational Intelligence in Music, Sound, Art and Design (EvoMUSART) Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), 2022, Madrid, Spain |
| Popis: | International audience; La muse is a joint project between artists and Machine Learning academic scholars. It aims at building pictorial compositions in order to provide sources of inspiration to assist painters in their process of creation. It relies on Articial Intelligence, mainly based on various artical neural networks, used for object recognition and style transfer. This article presents how, with minimal eort and without requiring extensive computational power La muse can take into account the visual universe of a painter, their artistic references, personal inspiration sources and preferred visual codebooks to create suggestions of painting subjects the human artist can then use as a source of inspiration for actual creation. Code developed in this project is Open Source and a free-to-use demonstration website is publicly accessible. |
| Databáze: | OpenAIRE |
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