SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Paint by numbers: abstract image representations
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Interactive pen-and-ink illustration
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Multiresolution sampling procedure for analysis and synthesis of texture images
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Orientable textures for image-based pen-and-ink illustration
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Processing images and video for an impressionist effect
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Painterly rendering with curved brush strokes of multiple sizes
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
Artistic Vision: painterly rendering using computer vision techniques
NPAR '02 Proceedings of the 2nd international symposium on Non-photorealistic animation and rendering
Tutorial: A Survey of Stroke-Based Rendering
IEEE Computer Graphics and Applications
IEEE Computer Graphics and Applications
Efficient Example-Based Painting and Synthesis of 2D Directional Texture
IEEE Transactions on Visualization and Computer Graphics
IMPaSTo: a realistic, interactive model for paint
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Image and video based painterly animation
Proceedings of the 3rd international symposium on Non-photorealistic animation and rendering
Appearance-space texture synthesis
ACM SIGGRAPH 2006 Papers
Vector field design on surfaces
ACM Transactions on Graphics (TOG)
Interactive Tensor Field Design and Visualization on Surfaces
IEEE Transactions on Visualization and Computer Graphics
Proceedings of the 5th international symposium on Non-photorealistic animation and rendering
Motion based painterly rendering
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
Texture transfer based on continuous structure of texture patches for design of artistic Shodo fonts
ACM SIGGRAPH ASIA 2010 Sketches
Extended papers from NPAR 2010: Directional texture transfer with edge enhancement
Computers and Graphics
Impressionist painterly style transfer based on texture localization
SIGGRAPH Asia 2011 Posters
Oil painting rendering through virtual light effect and regional analysis
Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry
A multi-level depiction method for painterly rendering based on visual perception cue
Multimedia Tools and Applications
Corpus-based visual synthesis: an approach for artistic stylization
Proceedings of the ACM Symposium on Applied Perception
Generating pointillism paintings based on Seurat's color composition
EGSR '13 Proceedings of the Eurographics Symposium on Rendering
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A texture transfer algorithm modifies the target image replacing the high frequency information with the example source image. Previous texture transfer techniques normally use such factors as color distance and standard deviation for selecting the best texture from the candidate sets. These factors are useful for expressing a texture effect of the example source in the target image, but are less than optimal for considering the object shape of the target image. In this paper, we propose a novel texture transfer algorithm to express the directional effect based on the flow of the target image. For this, we use a directional factor that considers the gradient direction of the target image. We add an additional energy term that respects the image gradient to the previous fast texture transfer algorithm. Additionally, we propose a method for estimating the directional factor weight value from the target image. We have tested our algorithm with various target images. Our algorithm can express a result image with the feature of the example source texture and the flow of the target image.