Creation and rendering of realistic trees
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Multidimensional Morphable Models: A Framework for Representing and Matching Object Classes
International Journal of Computer Vision
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Fast texture synthesis using tree-structured vector quantization
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Plant models faithful to botanical structure and development
SIGGRAPH '88 Proceedings of the 15th annual conference on Computer graphics and interactive techniques
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
Class-Specific, Top-Down Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Synthesis of progressively-variant textures on arbitrary surfaces
ACM SIGGRAPH 2003 Papers
A new point matching algorithm for non-rigid registration
Computer Vision and Image Understanding - Special issue on nonrigid image registration
ACM SIGGRAPH 2004 Papers
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
Volumetric reconstruction and interactive rendering of trees from photographs
ACM SIGGRAPH 2004 Papers
Modeling and visualization of leaf venation patterns
ACM SIGGRAPH 2005 Papers
Texture design using a simplicial complex of morphable textures
ACM SIGGRAPH 2005 Papers
Morphable model of quadrupeds skeletons for animating 3D animals
Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation
Completion-based texture design using deformation
The Visual Computer: International Journal of Computer Graphics
Detail preserving shape deformation in image editing
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH Asia 2008 papers
Sketch-based tree modeling using Markov random field
ACM SIGGRAPH Asia 2008 papers
Interactive example-based urban layout synthesis
ACM SIGGRAPH Asia 2008 papers
Layered shape synthesis: automatic generation of control maps for non-stationary textures
ACM SIGGRAPH Asia 2009 papers
Synthesizing structured image hybrids
ACM SIGGRAPH 2010 papers
Inducing semantic segmentation from an example
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
Editorial: Foreword to special section
Computers and Graphics
Painting by feature: texture boundaries for example-based image creation
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
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Highly detailed natural scenes and objects tend to be perceived as being realistic, while repeated parts and patterns decrease their realism. To avoid scenes with noticeable repeated elements, we introduce the notion of 'more of the same', which focuses on the task of generating additional similar instances from a small set of exemplars. The small number of exemplars, as well as their diversity and detailed structural texture, makes it difficult to apply statistical methods, or other machine learning tools, and thus more specialized tools need to be used. In this paper, we focus on generating a rich variation of highly detailed realistic leaves from just a handful set of examples. The method that we present does use only minimal domain specific knowledge and requires only minimal user assistance applied on a single training leaf exemplar to extract and separate structural layers. The knowledge from one leaf is then transferred to the other exemplars by a novel color/spatial layer inducing algorithm. The premise of structural layering is that each set of layers is simple enough to be synthesized separately and then composed into a novel leaf structural texture. This composition also allows the synthesis of slightly modified layers from the set of examples, which can generate a large set of differently looking leaves. We demonstrate numerous results of realistically looking leaves produced by our method from a small set of leaves.