ACM SIGGRAPH 2007 courses
Part III: dynamic texture synthesis
ACM SIGGRAPH 2007 courses
ACM SIGGRAPH 2008 papers
Accelerated parallel texture optimization
Journal of Computer Science and Technology
Motion field texture synthesis
ACM SIGGRAPH Asia 2009 papers
Anisotropic resizing of model with geometric textures
2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling
Local resampling for patch-based texture synthesis in vector fields
International Journal of Computer Applications in Technology
Photo zoom: high resolution from unordered image collections
Proceedings of Graphics Interface 2010
ACM SIGGRAPH 2011 papers
A Variational Framework for Exemplar-Based Image Inpainting
International Journal of Computer Vision
Patch-based texture interpolation
EGSR'10 Proceedings of the 21st Eurographics conference on Rendering
High dynamic range image hallucination
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Feature-guided dynamic texture synthesis on continuous flows
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
A fast texture-by-numbers synthesis method based on texture optimization
Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
Fast flow visualization on CUDA based on texture optimization
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Simple and efficient example-based texture synthesis using tiling and deformation
Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
Stylizing animation by example
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Parallel iso/aniso-scale surface texturing guided in Gabor space
SIGGRAPH Asia 2013 Technical Briefs
Solid texture synthesis for heterogeneous translucent materials
The Visual Computer: International Journal of Computer Graphics
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We synthesize and animate general texture patterns over arbitrary 3D mesh surfaces. The animation is controlled by flow fields over the target mesh, and the texture can be arbitrary user input as long it satisfies the Markov-Random-Field assumptions. We achieve this by extending the texture optimization framework over 3D mesh surfaces. We propose an efficient discrete solver inspired by k-coherence search, allowing interactive flow texture animation while avoiding the blurry blending problem for the least square solver in previous work. Our technique has potential applications ranging from simulation, visualization, and special effects.