Understanding and creating art with AI: Review and outlook
Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …
research and creative practices in visual arts. The growing number of research initiatives …
Fine-tuning convolutional neural networks for fine art classification
The increasing availability of large digitized fine art collections opens new research
perspectives in the intersection of artificial intelligence and art history. Motivated by the …
perspectives in the intersection of artificial intelligence and art history. Motivated by the …
Recognizing art style automatically in painting with deep learning
A Lecoutre, B Negrevergne… - Asian conference on …, 2017 - proceedings.mlr.press
The artistic style (or artistic movement) of a painting is a rich descriptor that captures both
visual and historical information about the painting. Correctly identifying the artistic style of a …
visual and historical information about the painting. Correctly identifying the artistic style of a …
A dataset and a convolutional model for iconography classification in paintings
F Milani, P Fraternali - Journal on Computing and Cultural Heritage …, 2021 - dl.acm.org
Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …
their motifs and themes and to characterize the way these are represented. It is a subject of …
[PDF][PDF] Computational aesthetics of fine art paintings: The state of the art and outlook
Fine art painting is an essential component of art. The computational aesthetics of fine art
painting is a computable human aesthetic process realized by machines, which has …
painting is a computable human aesthetic process realized by machines, which has …
Impressions: Visual semiotics and aesthetic impact understanding
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for
effective communication? We present Impressions, a novel dataset through which to …
effective communication? We present Impressions, a novel dataset through which to …
Not only generative art: Stable diffusion for content-style disentanglement in art analysis
The duality of content and style is inherent to the nature of art. For humans, these two
elements are clearly different: content refers to the objects and concepts in the piece of art …
elements are clearly different: content refers to the objects and concepts in the piece of art …
Novel features for art movement classification of portrait paintings
The increasing availability of extensive digitized fine art collections opens up new research
directions. In particular, correctly identifying the artistic style or art movement of paintings is …
directions. In particular, correctly identifying the artistic style or art movement of paintings is …
Impressions: Understanding Visual Semiotics and Aesthetic Impact
Is aesthetic impact different from beauty? Is visual salience a reflection of its capacity for
effective communication? We present Impressions, a novel dataset through which to …
effective communication? We present Impressions, a novel dataset through which to …
Madhubani Art Classification using transfer learning with deep feature fusion and decision fusion based techniques
S Varshney, CV Lakshmi, C Patvardhan - Engineering Applications of …, 2023 - Elsevier
Some traditional Indian art forms enjoy widespread popularity across the world. One of the
most prominent among these is the Madhubani style. This art form's rich heritage and beauty …
most prominent among these is the Madhubani style. This art form's rich heritage and beauty …