SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Drawing and animation using skeletal strokes
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
3D physics-based brush model for painting
ACM SIGGRAPH 99 Conference abstracts and applications
A diffusion model for computer animation of diffuse ink painting
CA '95 Proceedings of the Computer Animation
Image-based synthesis of Chinese landscape painting
Journal of Computer Science and Technology
Image and video based painterly animation
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Real-Time Painting with an Expressive Virtual Chinese Brush
IEEE Computer Graphics and Applications
MoXi: real-time ink dispersion in absorbent paper
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2005 Papers
Interactive watercolor rendering with temporal coherence and abstraction
Proceedings of the 4th international symposium on Non-photorealistic animation and rendering
Image-Based Color Ink Diffusion Rendering
IEEE Transactions on Visualization and Computer Graphics
Video watercolorization using bidirectional texture advection
ACM SIGGRAPH 2007 papers
IEEE Transactions on Visualization and Computer Graphics
Real-time saliency-aware video abstraction
The Visual Computer: International Journal of Computer Graphics
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Chinese ink painting, also known as ink and wash painting, is a technically demanding art form. Creating Chinese ink paintings usually requires great skill, concentration, and years of training. This paper presents a novel real-time, automatic framework to convert images into Chinese ink painting style. Given an input image, we first construct its saliency map which captures the visual contents in perceptually salient regions. Next, the image is abstracted and its salient edges are calculated with the help of the saliency map. Then, the abstracted image is diffused by a non-physical ink diffusion process. After that, we combine the diffused image and the salient edges to obtain a composition image. Finally, the composition image is decolorized and texture advected to synthesize the resulting image with Chinese ink painting style. The whole pipeline is implemented on the GPU, enabling a real-time performance. We also propose some optional steps (foreground segmentation and image inversion) to improve the rendering quality. Experimental results show that our model is two to three orders of magnitude faster, while producing results comparable the ones obtained with the current image-based Chinese ink painting rendering method.