CC BY 4.0Pescarin, SofiaSofiaPescarinAga, BirgitteBirgitteAgaKiyomoto, I.Y. ArteagaI.Y. ArteagaKiyomotoBarandoni, CristianaCristianaBarandoniBonifazi, FedericaFedericaBonifaziBoracchi, Beatrice G.Beatrice G.BoracchiBurgio, LuciaLuciaBurgioCerato, IvanaIvanaCeratoCiortan, IrinaIrinaCiortanClay, ArthurArthurClayFanini, BrunoBrunoFaniniFedon, Gemma ChiaraGemma ChiaraFedonFerdani, DanieleDanieleFerdaniGraf, HolgerHolgerGrafMagrini, DonataDonataMagriniMassidda, MarcelloMarcelloMassiddaPanteleris, PaschalisPaschalisPantelerisPapadopoulos, GiorgosGiorgosPapadopoulosPitikakis, MariosMariosPitikakisSandu, I.C.A.I.C.A.SanduHardeberg, Jon Y.Jon Y.HardebergSinha, Saptarshi NeilSaptarshi NeilSinhaSiozos, P.P.SiozosSotiropoulou, S.S.SotiropoulouSpotti, S.S.SpottiStavroulakis, P.P.StavroulakisTravaglini, L.L.TravagliniVeggi, M.M.VeggiTrumpy, G.G.Trumpy2025-09-242025-09-242025https://publica.fraunhofer.de/handle/publica/496233https://doi.org/10.24406/publica-553110.2312/dh.2025335010.24406/publica-5531PERCEIVE (Perceptive Enhanced Realities of Coloured Collections through AI and Virtual Experiences) is an European project dedicated to the study, analysis, interpretation, reconstruction, conservation and communication of colours in artworks and historical objects, within five different scenarios, including: lost polychromy of ancient sculptures, fading colours of paintings and works on paper, fading of textiles, historical photo and film collections, and of colours of digital born art. This paper describes the overall methodology and presents the main results beyond the state-of-the-art.enBranche: Cultural and Creative EconomyResearch Line: Machine learning (ML)LTA: Generation, capture, processing, and output of images and 3D modelsColor changeCultural heritageArtificial intelligence (AI)conference paper