Texturing and modeling: a procedural approach
Texturing and modeling: a procedural approach
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Intelligent scissors for image composition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Design galleries: a general approach to setting parameters for computer graphics and animation
Proceedings of the 24th 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
I3D '01 Proceedings of the 2001 symposium on Interactive 3D graphics
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
Self-similarity based texture editing
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Stylization and abstraction of photographs
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Image replacement through texture synthesis
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
An approach to 2D-to-3D conversion for multiview displays
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
A plausible texture enlargement and editing compound Markovian model
MUSCLE'11 Proceedings of the 2011 international conference on Computational Intelligence for Multimedia Understanding
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Image editing software is often characterized by a seemingly endless array of toolbars, filters, transformations and layers. But recently, a counter trend has emerged in the field of image editing which aims to reduce the user's workload through semi-automation. This alternate style of interaction has been made possible through advances in directed texture synthesis and computer vision. and it is in this context that we have developed our texture editing system that allows complex operations to be performed on images with minimal user interaction. This is achieved by utilizing the inherent self-similarity of image textures to replicate intended manipulations globally. In this paper, we expand the capabilities of replicated image editing by integrating procedural texture generation.