| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Artificial intelligence in music, sound, art and design/ edited by Penousal Machado, Colin Johnson, Iria Santos. |
| Reminder of title: |
14th International Conference, EvoMUSART 2025, held as part of EvoStar 2025, Trieste, Italy, April 23-25, 2025 : proceedings / |
| remainder title: |
EvoMUSART 2025 |
| other author: |
Machado, Penousal. |
| corporate name: |
EvoMUSART (Conference) |
| Published: |
Cham :Springer Nature Switzerland : : 2025., |
| Description: |
xi, 436 p. :ill. (some col.), digital ;24 cm. |
| [NT 15003449]: |
Long Talks. -- Yin-Yang: Developing Motifs With Long-Term Structure And Controllability. -- Foundations of LLCM: Labelled Lambek Calculus for Music Analysis. -- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting. -- Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT. -- The Importance of Context in Image Generation: A Case Study for Video Game Sprites. -- Perceptions of AI in Animation Production. -- Search-based Negative Prompt Optimisation for Text-to-Image Generation. -- Exploring the Application of AIGC in Ink-Wash Animation Creation: A Case Study of Dragon Gate. -- AI in Music and Healthcare: A Comparative Survey. -- Combining local search and directed mutation in evolutionary approaches to 4-part harmony. -- Exploiting the Temporal Order of Sound Features for Onset Detection. -- Towards Human-Quality Drum Accompaniment Using Deep Generative Models and Transformers. -- An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation. -- Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration. -- Exploring Bridges Between Algorithmic and AI-generated Art. -- Future Sight: Fine-tuning Language Models for Dynamic Story Generation. -- Short Talks. -- All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference. -- Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art. -- Aesthetic biases and opacity tactics in the training of visual artificial intelligence models. -- Music Similarity Through Geometric Overlap. -- Graph Neural Network vs Feature-based Folk Music Evolution Analysis. -- Generating Virtual Landscapes and Environmental Narratives with StyleGAN2. -- EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes. -- Towards the Automatic Evaluation of Legibility for Graphic Design Posters. -- Short video interestingness: a machine learning approach to determine creative cues in audiovisual production. -- Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features. -- Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. -- Steering Large Text-to-Image Model for Kandinsky Synthesis through Preference-based Prompt Optimization. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Evolutionary programming (Computer science) - Congresses. - |
| Online resource: |
https://doi.org/10.1007/978-3-031-90167-6 |
| ISBN: |
9783031901676 |