Results 1 to 10 of about 2,829,418 (74)
VPP-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning [PDF]
arXiv, 2021 Adaptive Random Testing (ART) is an enhancement of Random Testing (RT), and aims to improve the RT failure-detection effectiveness by distributing test cases more evenly in the input domain. Many ART algorithms have been proposed, with Fixed-Size-Candidate-Set ART (FSCS-ART) being one of the most effective and popular.
arxiv
Quantifying Confounding Bias in Generative Art: A Case Study [PDF]
arXiv, 2021 In recent years, AI generated art has become very popular. From generating art works in the style of famous artists like Paul Cezanne and Claude Monet to simulating styles of art movements like Ukiyo-e, a variety of creative applications have been explored using AI.
arxiv
E-learning model for art education: Case study in Iran [PDF]
arXiv, 2021 According to the characteristics of art, art education according to Bloom's classification, should take place at high and close to the level of creativity. E-learning related to the subject of art is different from ordinary E-learning. In this paper, a general circular model for E-learning for art education is presented, a case study which has been ...
arxiv
Understanding and Creating Art with AI: Review and Outlook [PDF]
arXiv, 2021 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 and creative applications that emerge in the intersection of AI and art, motivates us to examine and discuss the creative and explorative potentials of AI technologies in ...
arxiv
Biases in Generative Art -- A Causal Look from the Lens of Art History [PDF]
arXiv, 2020 With rapid progress in artificial intelligence (AI), popularity of generative art has grown substantially. From creating paintings to generating novel art styles, AI based generative art has showcased a variety of applications. However, there has been little focus concerning the ethical impacts of AI based generative art.
arxiv
Defining Computer Art: Methods, Themes, and the Aesthetic Problematic [PDF]
China in Culture, vol. 1, no. 4, 2020, pp.149-159, 2020 The application of computer technology in the field of art has given rise to novel modes of artistic practice, including media art, and it is a necessity to find a commensurable conceptual fundament. Therefore, computer art starting from the 1950s reenters the view.
arxiv
Procedural animations in interactive art experiences -- A state of the art review [PDF]
arXiv, 2021 The state of the art review broadly oversees the use of novel research utilized in the creation of virtual environments applied in interactive art experiences, with a specific focus on the application of procedural animation in spatially augmented reality (SAR) exhibitions. These art exhibitions frequently combine sensory displays that appeal, replace,
arxiv
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms [PDF]
arXiv, 2017 We propose a new system for generating art. The system generates art by looking at art and learning about style; and becomes creative by increasing the arousal potential of the generated art by deviating from the learned styles. We build over Generative Adversarial Networks (GAN), which have shown the ability to learn to generate novel images ...
arxiv
Art Speaks Maths, Maths Speaks Art [PDF]
arXiv, 2020 Our interdisciplinary team Mathematics for Applications in Cultural Heritage (MACH) aims to use mathematical research for the benefit of the arts and humanities. Our ultimate goal is to create user-friendly software toolkits for artists, art conservators and archaeologists.
arxiv
Computer Art in the Former Soviet Bloc [PDF]
arXiv, 2008 Documents early computer art in the Soviet bloc and describes Marxist art theory.
arxiv