Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A two-dimensional interpolation function for irregularly-spaced data
ACM '68 Proceedings of the 1968 23rd ACM national conference
Spectral Grouping Using the Nyström Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
"GrabCut": interactive foreground extraction using iterated graph cuts
ACM SIGGRAPH 2004 Papers
Colorization using optimization
ACM SIGGRAPH 2004 Papers
An Iterative Optimization Approach for Unified Image Segmentation and Matting
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Interactive local adjustment of tonal values
ACM SIGGRAPH 2006 Papers
Multiscale shape and detail enhancement from multi-light image collections
ACM SIGGRAPH 2007 papers
AppWand: editing measured materials using appearance-driven optimization
ACM SIGGRAPH 2007 papers
ACM SIGGRAPH 2007 papers
Real-time edge-aware image processing with the bilateral grid
ACM SIGGRAPH 2007 papers
A Closed-Form Solution to Natural Image Matting
IEEE Transactions on Pattern Analysis and Machine Intelligence
AppProp: all-pairs appearance-space edit propagation
ACM SIGGRAPH 2008 papers
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gaussian KD-trees for fast high-dimensional filtering
ACM SIGGRAPH 2009 papers
Edge-avoiding wavelets and their applications
ACM SIGGRAPH 2009 papers
Efficient affinity-based edit propagation using K-D tree
ACM SIGGRAPH Asia 2009 papers
User-assisted intrinsic images
ACM SIGGRAPH Asia 2009 papers
Edge-preserving multiscale image decomposition based on local extrema
ACM SIGGRAPH Asia 2009 papers
Smoothed local histogram filters
ACM SIGGRAPH 2010 papers
Geodesic image and video editing
ACM Transactions on Graphics (TOG)
Diffusion maps for edge-aware image editing
ACM SIGGRAPH Asia 2010 papers
Local Laplacian filters: edge-aware image processing with a Laplacian pyramid
ACM SIGGRAPH 2011 papers
Domain transform for edge-aware image and video processing
ACM SIGGRAPH 2011 papers
Image smoothing via L0 gradient minimization
Proceedings of the 2011 SIGGRAPH Asia Conference
A fast approximation of the bilateral filter using a signal processing approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Decoupling algorithms from schedules for easy optimization of image processing pipelines
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Adaptive manifolds for real-time high-dimensional filtering
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Practical temporal consistency for image-based graphics applications
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Manifold preserving edit propagation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Structure extraction from texture via relative total variation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
User-guided white balance for mixed lighting conditions
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
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It is common that users draw strokes, as control samples, to modify color, structure, or tone of a picture. We discover inherent limitation of existing methods for their implicit requirement on where and how the strokes are drawn, and present a new system that is principled on minimizing the amount of work put in user interaction. Our method automatically determines the influence of edit samples across the whole image jointly considering spatial distance, sample location, and appearance. It greatly reduces the number of samples that are needed, while allowing for a decent level of global and local manipulation of resulting effects and reducing propagation ambiguity. Our method is broadly beneficial to applications adjusting visual content.