Creativity and machine learning: A survey

G Franceschelli, M Musolesi - ACM Computing Surveys, 2024 - dl.acm.org
There is a growing interest in the area of machine learning and creativity. This survey
presents an overview of the history and the state of the art of computational creativity …

Continual zero-shot learning through semantically guided generative random walks

W Zhang, P Janson, K Yi… - Proceedings of the …, 2023 - openaccess.thecvf.com
Learning novel concepts, remembering previous knowledge, and adapting it to future tasks
occur simultaneously throughout a human's lifetime. To model such comprehensive abilities …

The Affective Nature of AI-Generated News Images: Impact on Visual Journalism

S Paik, S Bonna, E Novozhilova, G Gao… - 2023 11th …, 2023 - ieeexplore.ieee.org
This study explores the affective responses and newsworthiness perceptions of generative
AI for visual journalism. While generative AI offers advantages for newsrooms in terms of …

[PDF][PDF] Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms.

D Jha, K Yi, I Skorokhodov, M Elhoseiny - ICCC, 2022 - computationalcreativity.net
Abstract We propose Creative Walk Adversarial Networks (CWAN) for novel art generation.
Quality learning representation of unseen art styles is critical to facilitate generation of new …

AI for Supporting the Freedom of Drawing

X Sun, J Qin - Machine Intelligence Research, 2024 - Springer
Artificial intelligence (AI) has recently been developing rapidly in image processing and
generation. AI is not only starting to take over repetitive and tedious tasks but is also …

[PDF][PDF] Investigating the emotional responses to Generative Art

AG Ho, K Shim - Archives of Design Research, 2024 - aodr.org
Background Generative art, which includes the development of artworks using algorithms
and emergent behaviour, is receiving recognition for its tendency to evoke emotion. A vast …

Enhancing Sentiment Analysis of Art Works through Big Data and Multi-Modality Integration

H Zhang - 2024 International Conference on Electronics and …, 2024 - ieeexplore.ieee.org
Traditionally, AI classification has relied on single-modality networks, which could overlook
valuable complementary information from other modalities, leading to potential inaccuracies …