Deep Painterly Harmonization

Supplementary Material: Deep Image Harmonization

To validate the effectiveness of our joint training scheme, we also try an alternative of incorporating an off-the-shelf state-of-the-art scene parsing model [3] into our single encoder-decoder harmonization framework to provide semantic information. This network architecture is shown in Figure 1. We show quantitative comparisons on our synthesized dataset in Table 1 and 2. The MSE and PSNR of ...

Flow-Centric Painterly Rendering

We present a painterly rendering technique that emphasizes smooth line flows to describe important shapes in the image, as well as contributing in an essential part to the final stylistic artwork. Our method uses the smoothed edge tangent flow (ETF) [20] for stroke pathing, and provides an artist-friendly way to control the general look and feel of the image using familiar brush stroke properti...

Reverse Painterly Rendering

Painterly Rendering Framework from Composition

Painterly rendering has recently drawn considerable attention from graphics researchers. However, the state of the art is neither systematic nor evaluative. This work presents a novel painterly rendering framework. The painting process is decomposed into three stages to satisfy the needs of developers and users of painterly rendering algorithms and programs. The framework comprises three system...

Multiscale Moment-Based Painterly Rendering

In this paper we present a new method for painterly rendering of images. Our method extends the image-moment stroke placement algorithm in two ways: we employ a multiscale scheme for computing strokes and we provide a parametrized mechanism for controlling stroke distribution. In addition, we introduce a flexible implementation framework based on the extension language Lua.