Group 1: bilateral: neighborhood selection/guided filtering |
pami12_Guided Image Filtering
Eccv14_Rolling guidance filter
sig15_Rolling Guidance Normal Filter for Geometric Processing
tvcg10_Robust Feature-Preserving Mesh Denoising Based on Consistent Sub-Neighborhoods
sig14_Bilateral texture filtering
pg15_Guided Mesh Normal Filtering
cvpr12_Cross-Based Local Multipoint Filtering, chose subneighbor by threshod &?
cvpr14_Multipoint Filtering with Local Polynomial Approximation and Range Guidance
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Group 2: bilateral |
scbw14_A general framework for bilateral and mean shift filtering
tvcg11_Bilateral Normal Filtering for Mesh Denoising
tvcg15_Bi-normal Filtering for Mesh Denoising
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Group 3: structure transfer via guided filter |
tip13_Image Fusion with Guided Filtering,
iccv15_Mutual-Structure for Joint Filtering, matlab code
sig07 Joint Bilateral Upsampling
sig02_Fast bilateral filtering for the display of high-dynamic-range images, with data & code
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Group 4: Predefined neighborhood vs adptive neighborhood vs path depended weights within predefined neighborhood |
cvpr15_Propagated image filtering, has code. The best?
tip14_Efficient structure-preserving smoothing with a minimum spanning tree
cagd08_Random walks for feature-preserving mesh denoising
tvcg07_Fast and effective feature-preserving mesh denoising
cvpr12_Cross-based local multipoint filtering
eccv12_Recursive bilateral filtering
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Group 5: use 1D filter for 2D or 3D filtering |
tvcg14_Efficient structure-aware image smoothing by local extrema on space-filling curve
sig11_Domain Transform for Edge-Aware Image and Video Processing, cool, with code
eg15_High-Order Recursive Filtering of Non-Uniformly Sampled Signals for Image and Video Processing, with code, eg15 best paper
vc15_Efficient EMD and Hilbert spectra computation for 3D geometry processing and analysis via space-filling curve
tvcg15_Guided adaptive image smoothing via directional anisotropic structure measurement
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Group 5: Deep learning |
nips12_Image Denoising and Inpainting with Deep Neural Networks
icml15_ deep edge-aware filters, has code
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Group 6: sparse |
sig15_An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition
siga11_Image Smoothing via L0 Gradient Minimization
sig13_Mesh Denoising via L0 Minimization
tog14_Decoupling noise and features via weighted l1-analysis compressed sensing
cagd15_Denoising Point Sets via L0 Minimization
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Group 7: other |
tip14_Fast global image smoothing based on weighted least squares
sig10_Diffusion maps for edge-aware image editing
tog08_Edge-preserving decompositions for multi-scale tone and detail manipulation
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Group 8: Laplacian |
sig11_Local laplacian filters: Edge-aware image processing with a laplacian pyramid
sig14_Fast Local Laplacian Filters: Theory and Applications
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Group 9: other interesting decomposition papers |
siga13_Structure Preserving Image Smoothing via Region Covariances, has code
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Group 10: speedup |
eccv06_A Fast Approximation of the Bilateral Filter using a Signal Processing Approach, has code
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