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Scene Completion Using Millions of Photographs
- https://cacm.acm.org/magazines/2008/10/516-scene-completion-using-millions-of-photographs/fulltext#:~:text=Scene%20matching%20reduces%20our%20search%20from%20a%20database,the%20nearest%20scenes%2C%20even%20in%20a%20large%20database.
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Scene completion using millions of photographs | ACM …
- https://dl.acm.org/doi/10.1145/1276377.1276382
- 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 …
Scene Completion Using Millions of Photographs
- http://graphics.cs.cmu.edu/projects/scene-completion
- James Hays, Alexei A. Efros. Scene Completion Using Millions of Photographs. ACM Transactions on Graphics (SIGGRAPH 2007). August 2007, vol. 26, No. 3. Bibtex. Data. Test set, 44MBcontaining 51 image/mask pairs used for our user study. Additional test …
Scene completion using millions of photographs
- https://dl.acm.org/doi/10.1145/1400181.1400202
- 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 ...
Scene Completion Using Millions of Photographs
- https://cacm.acm.org/magazines/2008/10/516-scene-completion-using-millions-of-photographs/fulltext
- none
Scene Completion Using Millions of Photographs
- https://www.researchgate.net/publication/220425355_Scene_Completion_Using_Millions_of_Photographs
- Specially, Hays et al. [37] firstly utilized millions of photographs as a database to search for an example image that is most similar to the input, and then completed the image by cutting and...
Scene Completion Using Millions of Photographs - The …
- https://www.ri.cmu.edu/publications/scene-completion-using-millions-of-photographs/
- 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 […]
Scene Completion Using Millions of Photographs
- https://3dvar.com/Hays2007Scene.pdf
- Scene matching reduces our search from a database of over two million images to a manageable number of best matching scenes (200 in our case) which are used for image completion. We use a low dimensional scene descriptor [Oliva and Torralba2006]soitisrelativelyfasttofind thenearestscenes, even in a large database.
Scene Completion Using Millions of Photographs
- https://www.slideserve.com/truly/scene-completion-using-millions-of-photographs
- Scene Completion Using Millions of Photographs. James Hays, Alexei A. Efros Carnegie Mellon University ACM SIGGRAPH 2007. Outline. Introduction Overview Semantic Scene Matching Local Context Matching Results and Comparison Conclusion. Outline. Introduction Overview Slideshow 5789885 by truly
Scene Completion Using Millions of Photographs
- https://people.cs.pitt.edu/~kovashka/cs3710_sp15/bigdata_expts_jesse.pdf
- Scene Completion Using Millions of Photographs. Original Work. SCENE COMPLETION USING MILLIONS OF PHOTOGRAPHS JAMES HAYS AND ALEXEI A. EFROS. The Algorithm. Input image Scene DescriptorImage Collection. 20 completions 200 matches Context matching + blending. Hays and Efros, SIGGRAPH 2007. Data.
Scene completion using millions of photographs - 百度学术
- https://xueshu.baidu.com/usercenter/paper/show?paperid=0130c6767643497f1abac73ffd88102c
- Scene completion using millions of photographs ... 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 labelling by the user. Unlike existing image completion methods, our algorithm can ...
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