A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
IEEE Computer Graphics and Applications
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Motion Deblurring and Super-resolution from an Image Sequence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
The Global Dimensionality of Face Space
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
ACM SIGGRAPH 2003 Papers
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Digital photography with flash and no-flash image pairs
ACM SIGGRAPH 2004 Papers
Flash photography enhancement via intrinsic relighting
ACM SIGGRAPH 2004 Papers
Image-Based Rendering Using Image-Based Priors
International Journal of Computer Vision
Two motion-blurred images are better than one
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Fields of Experts: A Framework for Learning Image Priors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Removing photography artifacts using gradient projection and flash-exposure sampling
ACM SIGGRAPH 2005 Papers
Two-scale tone management for photographic look
ACM SIGGRAPH 2006 Papers
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
ACM SIGGRAPH 2006 Papers
A Closed Form Solution to Natural Image Matting
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Image Denoising Via Learned Dictionaries and Sparse representation
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Noise Estimation from a Single Image
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Estimating Intrinsic Component Images using Non-Linear Regression
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
ACM SIGGRAPH 2006 Sketches
Image deblurring with blurred/noisy image pairs
ACM SIGGRAPH 2007 papers
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
Face Hallucination: Theory and Practice
International Journal of Computer Vision
Generic vs. person specific active appearance models
Image and Vision Computing
IEEE Transactions on Image Processing
Expression flow for 3D-aware face component transfer
ACM SIGGRAPH 2011 papers
Non-rigid dense correspondence with applications for image enhancement
ACM SIGGRAPH 2011 papers
Proceedings of the 2011 SIGGRAPH Asia Conference
Single-view hair modeling for portrait manipulation
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Data-Driven Object Manipulation in Images
Computer Graphics Forum
Content-Aware Automatic Photo Enhancement
Computer Graphics Forum
Optimizing color consistency in photo collections
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Face hallucination on personal photo albums
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
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We describe a framework for improving the quality of personal photos by using a person's favorite photographs as examples. We observe that the majority of a person's photographs include the faces of a photographer's family and friends and often the errors in these photographs are the most disconcerting. We focus on correcting these types of images and use common faces across images to automatically perform both global and face-specific corrections. Our system achieves this by using face detection to align faces between “good” and “bad” photos such that properties of the good examples can be used to correct a bad photo. These “personal” photos provide strong guidance for a number of operations and, as a result, enable a number of high-quality image processing operations. We illustrate the power and generality of our approach by presenting a novel deblurring algorithm, and we show corrections that perform sharpening, superresolution, in-painting of over- and underexposured regions, and white-balancing.