We introduce an example-based synthesis technique that extrapolates novel styles for a given input image. The technique is based on separating the style and content of image fragments. Given an image with a new style and content, it is first adaptively partitioned into fragments. Stitching together novel fragments produces a coherent image in a new style for a given content. The aggregate of sy...

since eighth century, much attention has been given by painters on khamseh works due its romantic and lyric stories. female is a heroine or she has a significant role in most of khamseh works, that show its contributions on nezamis works. unlike common negative view about women in society, nezami considered a high social level for them. in the different periods these stories, especially lily an...

Unlike photorealistic rendering striven by traditional 3D computer graphics, NPR emphasizes artistic expression, subjective mood imbuing, and downplaying unimportant information. The paper presents a new automatic method for generating oil paintings via fluid simulation technology. A paintly rendering is built up in a series of layers, drawn with large, long and curved brush strokes, and aligne...

Image Segmentation for Stylized Non-Photorealistic Rendering and Animation Alexander Kolliopoulos Master of Science Graduate Department of Computer Science University of Toronto 2005 This thesis approaches the problem of non-photorealistic rendering by identifying segments in the image plane and filling them using algorithms to render in artistic styles. Using segments as a 2D primitive for non...

An interesting and potentially useful vision/graphics task is to render an input image in an enhanced form or also in an unusual style; for example with increased sharpness or with some artistic qualities. In previous work [10, 5], researchers showed that by estimating the mapping from an input image to a registered (aligned) image of the same scene in a different style or resolution, the mappi...

Inpainting is an image interpolation problem, with broad applications in image and vision analysis. This paper presents our recent efforts in developing inpainting models based on the Bayesian and variational principles. We discuss several geometric image models, their role in the construction of variational in-painting models, and the associated Euler-Lagrange PDEs and their numerical computat...