This paper presents a method for learning artistic portrait lighting template from a dataset of artistic and daily portrait photographs. The learned template can be used for (1) classification of artistic and daily portrait photographs, and (2) numerical aesthetic quality assessment of these photographs in lighting usage. For learning the template, we adopt Haar-like local lighting contrast fea...

There are three major advancements in the area of neural style transfer. In 2015, the paper, A neural algorithm of artistic style [2], proposes an iterative algorithm for neural style transfer. In 2016, the paper, Perceptual losses for real-time style transfer and super-resolution [3], proposes a real-time neural style transfer algorithm. However, for this algorithm, we have to train a seperate...

A novel approach to the creation of assemblages of three-dimensional digital objects is presented and explored. The proposed evolutionary art approach allows the evolution of the distribution of 3D objects, which are placed on a virtual canvas, constructing a non-photorealistic transformation of a source image. The approach is thoroughly described, giving particular emphasis to the interaction ...

The research of image visual characteristics transfer is motivated from texture synthesis techniques. Generally, the success of these applications is inherently useroriented and highly depends on the subjective personal thoughts also. Therefore, a method with the reasonable estimation values to synthesize a styled texture which would meet the user preference is highly desirable. In this paper, ...

Many non-photorealistic rendering techniques exist to produce artistic effects from given images. Inspired by various artists, interesting effects can be produced by using a minimal rendering, where the minimum refers to the number of tones as well as the number and complexity of the primitives used for rendering. Our method is based on various computer vision techniques, and uses a combination...

Evolutionary search has been extensively used to generate artistic images. Raw images have high dimensionality which makes a direct search for an image challenging. In previous work this problem has been addressed by using compact symbolic encodings or by constraining images with priors. Recent developments in deep learning have enabled a generation of compelling artistic images using generativ...

two oriental and western symbols are recorded in the memory of the world. kamal al-din behzad (1460-1535.a.d./ 865-942 a.h.) is the painter of iran's golden era and leonardo da vinci (1452-1519.a.d./ 857-925 a.h.) is the verstile artist of italian renaissance. the life stories of these two artists are more or les similar. during childhood, both experienced a hard time and during youth and adult...

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 paintings is crucial for indexing large artistic databases. In this paper, we investigate the use of deep residual neural to solve the problem of detecting the artistic style of a painting and outperfo...