Accepted Papers

• - Alexander Varlamov, Daria Diatlova and Egor Spirin. Image watermarking with a large number of unique messages


• - Alberto Sanchez-Acedo, Alejandro Carbonell-Alcocer, Pasquale Cascarano, Shirin Hajahmadi, Giacomo Vallasciani, Manuel Gertrudix and Gustavo Marfia. The influence of audiovisual elements on the realism of generative AI videos: the case of Sora


• - Antonio Laverghetta Jr., Simone Luchini, Averie Linnell, Roni Reiter-Palmon and Roger Beaty. The creative psychometric item generator: a framework for item generation and validation using large language models


• - Elio Musacchio, Lucia Siciliani, Pierpaolo Basile and Giovanni Semeraro. Adapting Large Language Models to Narrative Content


• - Imke van Heerden and Anil Bas. A Perspective on Literary Metaphor in the Context of Generative AI


• - Jens Johannsmeier and Sebastian Stober. Hybrid Symbolic-Waveform Modeling of Music -- Opportunities and Challenges


• - Lorenzo Tribuiani, Luca Giuliani, Allegra De Filippo and Andrea Borghesi. Expert-MusiComb: Injective Domain Knowledge in a Neuro-Symbolic Approach for Music Generation


• - Michele Braccini, Allegra De Filippo, Michele Lombardi and Michela Milano. Swarm Intelligence: A Novel and Unconventional Approach to Dance Choreography Creation


• - Nicolas Lazzari and Valentina Presutti. Tempo estimation from symbolic annotations with periodic functions


• - Shraddha Pawar, Savita Bhat, Ganesh Prasath and Shirish Karande. AI Writers and Critics: An Exploratory Study on Creative Content Generation and Evaluation by Large Language Model


• - Silvia Garzarella, Lorenzo Stacchio, Pasquale Cascarano, Allegra De Filippo, Elena Cervellati and Gustavo Marfia. Preserving and Annotating Dance Heritage Material through Deep Learning Tools: A Case Study on Rudolf Nureyev


• - Stephen James Krol, Abhinav Sood and Maria Teresa Llano. From Simple to Complex: Extending the Generative Capabilities of Attribute-Based Latent Space Regularization through AR-VAE-Diffusion


• - Victor De Marez, Thomas Winters and Ayla Rigouts Terryn. THInC: A Theory-Driven Framework for Computational Humor Detection


• - Yi-Chun Chen and Arnav Jhala. Collaborative Comic Generation: Integrating Visual Narrative Theories with AI Models for Enhanced Creativity