{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/art2mus-bridging-visual-arts-and-music","title":"Art2Mus: Bridging Visual Arts and Music through Cross-Modal Generation","arxiv_id":"2410.04906","date":"2024-10-07","proceeding":null,"authors":["Ivan Rinaldi","Nicola Fanelli","Giovanna Castellano","Gennaro Vessio"],"abstract":"Artificial Intelligence and generative models have revolutionized music creation, with many models leveraging textual or visual prompts for guidance. However, existing image-to-music models are limited to simple images, lacking the capability to generate music from complex digitized artworks. To address this gap, we introduce $\\mathcal{A}\\textit{rt2}\\mathcal{M}\\textit{us}$, a novel model designed to create music from digitized artworks or text inputs. $\\mathcal{A}\\textit{rt2}\\mathcal{M}\\textit{us}$ extends the AudioLDM~2 architecture, a text-to-audio model, and employs our newly curated datasets, created via ImageBind, which pair digitized artworks with music. Experimental results demonstrate that $\\mathcal{A}\\textit{rt2}\\mathcal{M}\\textit{us}$ can generate music that resonates with the input stimuli. These findings suggest promising applications in multimedia art, interactive installations, and AI-driven creative tools.","url_abs":"https://arxiv.org/abs/2410.04906v1","url_pdf":"https://arxiv.org/pdf/2410.04906v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"art2mus-bridging-visual-arts-and-music","repo_url":"https://github.com/justivanr/art2mus_","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}