2009 IEEE 12th International Conference on Computer Vision 2009
DOI: 10.1109/iccv.2009.5459159
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Cited by 284 publications
(322 citation statements)
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“…In Figure 8, we present comparisons with Shift-Map method [19], Patch Match (PM) ( [18], [29]) and Structure Propagation (SP) [5] on four different images: a simulated non-uniform low-rank texture, a uniform building facade, [19], SP [5] and Photoshop [18]. Columns 1-2: input and result of our method; Columns 3-4: input and result of ShiftMap; Columns 5-6: input and result of SP; Columns 7-8: input and result of Photoshop.…”
Section: B Comparison With Image Completion Systemsmentioning
confidence: 99%
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“…In Figure 8, we present comparisons with Shift-Map method [19], Patch Match (PM) ( [18], [29]) and Structure Propagation (SP) [5] on four different images: a simulated non-uniform low-rank texture, a uniform building facade, [19], SP [5] and Photoshop [18]. Columns 1-2: input and result of our method; Columns 3-4: input and result of ShiftMap; Columns 5-6: input and result of SP; Columns 7-8: input and result of Photoshop.…”
Section: B Comparison With Image Completion Systemsmentioning
confidence: 99%
“…For instance, they can not handle images with perspective deformation. In our method, the deformation can be estimated by solving (19). The estimated τ is then used to rectify the input region and we then solve (8) to repair the texture, typically with two iterations (first to estimate the error support, second to complete the image with a partially known error support).…”
Section: B Comparison With Image Completion Systemsmentioning
confidence: 99%
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“…We, on the other hand, work in pixel resolution, supporting both small and irregular displacements. [14] perform geometric image rearrangement for various image editing tasks using a MRF formulation. Our work concentrates on a different problem and requires different formulation.…”
Section: Background and Related Workmentioning
confidence: 99%