Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Context-based vision system for place and object recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Interactive digital photomontage
ACM SIGGRAPH 2004 Papers
Texture optimization for example-based synthesis
ACM SIGGRAPH 2005 Papers
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2006 Papers
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
What is the range of surface reconstructions from a gradient field?
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Industrial E-Commerce and Visualization of Products: 3D Rotation versus 2D Metamorphosis
Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
A comprehensive framework for image inpainting
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Error-correcting output hashing in fast similarity search
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Image inpainting with salient structure completion and texture propagation
Pattern Recognition Letters
Interactive Multi-perspective Imagery from Photos and Videos
Computer Graphics Forum
Sample-based image completion using structure synthesis
Journal of Visual Communication and Image Representation
| Hi-index | 48.22 |
What can you do with a million images? In this paper, we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless, but also semantically valid. Our chief insight is that while the space of images is effectively infinite, the space of semantically differentiable scenes is actually not that large. For many image completion tasks, we are able to find similar scenes which contain image fragments that will convincingly complete the image. Our algorithm is entirely data driven, requiring no annotations or labeling by the user. Unlike existing image completion methods, our algorithm can generate a diverse set of image completions and we allow users to select among them. We demonstrate the superiority of our algorithm over existing image completion approaches.