Artificial Intelligence (AI) is becoming more popular in various fields, including the area of art creation. Advances AI technology bring new opportunities and challenges creation, experience, appreciation art. The neural style transfer (NST) realizes intelligent conversion any artistic using networks. However, product cognition that involving from visual to feel. purpose this paper study facto...

In this paper, we present a method which combines the flexibility of the neural algorithm of artistic style with the speed of fast style transfer networks to allow real-time stylization using any content/style image pair. We build upon recent work leveraging conditional instance normalization for multi-style transfer networks by learning to predict the conditional instance normalization paramet...

seals can help to identify the unknown aspects a culture. parthian seals and bullaes not only have played an important role in business in the community, but also they are important to identify the art and culture of this period. except a few reports about parthian site and a few works that can be found in collections and museums little has been written with regard to the seals of this period. ...

The goal of our project is to learn the content and style representations of face portraits, and then to combine them to produce new pictures. The content features of a face are the features that identify a face, such as the outline shape. The stylistic features are the artistic characteristics of a certain portrait or painting, such as brush strokes, or background color. We forward-pass a cont...

Painting style transformation aims to produce a painting in a particular artist’s style from a picture or other paintings. In the previous implementations of example-based painting style transfer, users had to manually select the patches from example patches. It is time-consuming and subjective for a user to select proper patches from a large number of patches. This paper develops a patch-based...

Recently, the Twin-codebook Vector Quantization (TBVQ) has been developed for image colourization. It adopts two different but related codebooks in the encoder and decoder respectively, instead of the same codebooks used in traditional vector quantizers. In this paper, a novel image artistic style learning scheme is proposed based on TBVQ. During the learning process, the target image is first ...

The University of Lethbridge John R. Vokey Department of Psychology and Neuroscience University of Lethbridge Jason M. Tangen Department of Psychology McMaster University ABSTRACT Judgments of style in art, music, and literature are commonplace, although the mechanisms providing for this structural sensitivity are not well understood. Watanabe, Sakamoto, and Wakita (1995) showed that pigeons tr...

BACKGROUND Two professional painters experienced significant changes in their art as the main consequence of minor stroke located in the left occipital lobe or thalamus. METHODS The features of this artistic conversion were analysed on the basis of extensive neurological, neuropsychological, and psychiatric evaluations. RESULTS Both painters, initially unaware of the artistic changes, exhib...

This article argues that contemporary, computer-mediated, algorithmic forms of sociality problematize a long and major tradition in cultural anthropology, which has appropriated the notion of artistic style to theorize culture as a relatively distinct, coherent, and durable configuration of behavioral dispositions. The article’s ethnographic site is a lab in a major institute of technology in t...