Results 21 to 30 of about 280,010 (285)

Computational aesthetics and applications

Visual Computing for Industry, Biomedicine, and Art, 2018
Computational aesthetics, which bridges science and art, is emerging as a new interdisciplinary field. This paper concentrates on two main aspects of computational aesthetics: aesthetic measurement and quantification, generative art, and then proposes a ...
Yihang Bo, Jinhui Yu, Kang Zhang
doaj   +1 more source

Seg2pix: Few Shot Training Line Art Colorization with Segmented Image Data

Applied Sciences, 2021
There are various challenging issues in automating line art colorization. In this paper, we propose a GAN approach incorporating semantic segmentation image data.
Chang Wook Seo, Yongduek Seo
doaj   +1 more source

Real-Time Electroencephalogram Data Visualization Using Generative AI Art

Designs
This study is the result of the need to research the visualization of brainwaves. The aim is based on the idea of using generative AI art systems as a method.
Andrei Virgil Puiac, Lucian-Ionel Cioca, Gheorghe Daniel Lakatos, Adrian Groza   +3 more
doaj   +1 more source

Generative AI Arts

The New Real, 2023
In this, the first edition of The New Real Magazine, we present a guide to working in Generative AI Arts by practitioners at the forefront of the creative wave in AI today, and discover how our present moment was foretold by artists who had already been working with, and on, AI for a decade.
openaire   +1 more source

Generative Artificial Intelligence as a Catalyst for Change in Higher Education Art Study Programs

Computers
Generative Artificial Intelligence (AI) has emerged as a transformative tool in art education, offering innovative avenues for creativity and learning. However, concerns persist among educators regarding the potential misuse of text-to-image generators ...
Anna Ansone, Zinta Zālīte-Supe, Linda Daniela   +2 more
doaj   +1 more source

Fusing Algorithms for Intersection of Computer Science and Art: Innovations in Generative Art and Interactive Digital Installations

IEEE Access
This article investigates the integration of Variational Autoencoders (VAEs) and Particle Swarm Optimization (PSO) in the realm of generative art and interactive digital installations.
Jingpeng Xie, Miaomiao Yu, Guangliang Liu   +2 more
doaj   +1 more source

Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning

, 2017
Recent advances in Generative Adversarial Learning allow for new modalities of image super-resolution by learning low to high resolution mappings.
Bosch, Marc, Gifford, Christopher M., Rodriguez, Pedro A.   +2 more
core   +1 more source

Auxiliary Deep Generative Models [PDF]

, 2016
Deep generative models parameterized by neural networks have recently achieved state-of-the-art performance in unsupervised and semi-supervised learning.
Maaløe, Lars, Sønderby, Casper Kaae, Sønderby, Søren Kaae, Winther, Ole   +3 more
core   +1 more source

Diversity and complexity in neural organoids

FEBS Letters, EarlyView.
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley   +1 more source

Digital Tech as a Tool for Revitalisation of Industrial and Socio-Cultural Heritage Sites

Управление культурой
The article is devoted to the problem of revitalization of industrial and socio-cultural heritage sites and the inclusion of spaces of former industrial and social complexes in the socio-cultural environment of the region.
Ekaterina S. Menshikova, Tatyana Yu. Smirnova   +1 more
doaj   +1 more source