This paper presents the possibility of using image completion combined with a large image database to create an infinite panorama. The algorithm performs scene matching using a portion of the original input image to find the best matching neighboring scenes and then composites these images in a seamless way. Even though the automatically generated panoramas may not be convincingly realistic, th...

The interpretation of the image T. Shevchenko in modern artistic practices is analyzed. Its characteristic features are noted and its correspondence to main trends outlined early 10s 21st century traced: desire articulate understand basis pain points society through present him as a certain image-thoughtform (spirit, energy). It that, turning poet practices, artists adhere transmission his phys...

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 ...

This paper describes a method for learning statistical models of 2D curves, and shows how these models can be used to design line art rendering styles by example. A user can create a new style by providing an example of the style, e.g. by sketching a curve in a drawing program. Our method can then synthesize random new curves in this style, and modify existing curves to have the same style as t...

Artists pictures rarely have photo-realistic detail. Tools to create pictures from digital photographs might, therefore, include methods for removing detail. These tools such as Gaussian and anisotropic diffusion filters and connected-set morphological filters (sieves) remove detail whilst maintaining scale-space causality, in other words new detail is not created using these operators. Non-pho...

The diversity of painting styles represents a rich visual vocabulary for the construction of an image. The degree to which one may learn and parsimoniously capture this visual vocabulary measures our understanding of the higher level features of paintings, if not images in general. In this work we investigate the construction of a single, scalable deep network that can parsimoniously capture th...

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...