Colour and Brush Stroke Pattern Recognition in Abstract Art using Modified Deep Convolutional Generative Adversarial Networks

arXiv:2403.18397v1 Announce Type: cross
Abstract: Abstract Art is an immensely popular, discussed form of art that often has the ability to depict the emotions of an artist. Many researchers have made attempts to study abstract art in the form of edge detection, brush stroke and emotion recognition algorithms using machine and deep learning. This papers describes the study of a wide distribution of abstract paintings using Generative Adversarial Neural Networks(GAN). GANs have the ability to learn and reproduce a distribution …

abstract adversarial art artist arxiv colour cs.ai cs.cv cs.lg detection edge emotions form generative generative adversarial networks networks pattern recognition popular recognition researchers stroke study type