SOTAVerified

Image Matting

Image Matting is the process of accurately estimating the foreground object in images and videos. It is a very important technique in image and video editing applications, particularly in film production for creating visual effects. In case of image segmentation, we segment the image into foreground and background by labeling the pixels. Image segmentation generates a binary image, in which a pixel either belongs to foreground or background. However, Image Matting is different from the image segmentation, wherein some pixels may belong to foreground as well as background, such pixels are called partial or mixed pixels. In order to fully separate the foreground from the background in an image, accurate estimation of the alpha values for partial or mixed pixels is necessary.

Source: Automatic Trimap Generation for Image Matting

Image Source: Real-Time High-Resolution Background Matting

Papers

Showing 201225 of 225 papers

TitleStatusHype
Information-Flow MattingCode0
Automatic Trimap Generation for Image Matting0
Designing Effective Inter-Pixel Information Flow for Natural Image Matting0
Matting and Depth Recovery of Thin Structures Using a Focal Stack0
On the Effectiveness of Visible Watermarks0
L1-regularized Reconstruction Error as Alpha Matte0
A Hierarchical Image Matting Model for Blood Vessel Segmentation in Fundus images0
Digital Makeup from Internet Images0
An Alternative Matting Laplacian0
A propagation matting method based on the Local Sampling and KNN Classification with adaptive feature space0
Sparse Coding for Alpha Matting0
Learning to Boost Filamentary Structure Segmentation0
Image Matting With KL-Divergence Based Sparse Sampling0
Frequency-Based Environment Matting by Compressive Sensing0
Video Matting via Sparse and Low-Rank Representation0
Light Field Layer Matting0
Video Magnification in Presence of Large Motions0
Simultaneous Video Defogging and Stereo Reconstruction0
Joint Depth Estimation and Camera Shake Removal from Single Blurry Image0
Frequency-Based 3D Reconstruction of Transparent and Specular Objects0
Scalable Matting: A Sub-linear Approach0
Foreground segmentation based on multi-resolution and matting0
Video Editing with Temporal, Spatial and Appearance Consistency0
Improving Image Matting Using Comprehensive Sampling Sets0
Image Matting with Local and Nonlocal Smooth Priors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DIMMSE14Unverified
2IndexNet-MattingMSE13Unverified
3Context-Aware MattingMSE8.2Unverified
4SIMMSE5.8Unverified
5LSAMattingMSE5.4Unverified
6FBAMattingMSE5.3Unverified
7PP-MattingMSE5Unverified
8LFPNetMSE4.1Unverified
9MatteFormerMSE4Unverified
10TMFNetMSE3.6Unverified
#ModelMetricClaimedVerifiedStatus
1SHMCSAD61.5Unverified
2LFSAD36.12Unverified
3HATTSAD28.01Unverified
4SHMSAD17.81Unverified
5GFM(r)SAD10.89Unverified
6GFM(d)SAD10.26Unverified
7GFM(r2b)SAD10.24Unverified
8GFM(r')SAD9.66Unverified
9StyleMatteSAD9.6Unverified
#ModelMetricClaimedVerifiedStatus
1LFSAD42.95Unverified
2HATTSAD25.99Unverified
3SHMSAD21.56Unverified
4GFMSAD13.2Unverified
5P3M-Net (r)SAD8.73Unverified
6StyleMatteSAD6.97Unverified
7P3M-Net (v)SAD6.24Unverified
#ModelMetricClaimedVerifiedStatus
1LFSAD191.74Unverified
2SHMSAD170.44Unverified
3U2NETSAD83.46Unverified
4GFMSAD52.66Unverified
5AIM-NetSAD43.92Unverified
6DiffMatteSAD16.31Unverified
#ModelMetricClaimedVerifiedStatus
1CAMMSE4.5Unverified
2BMMSE1.33Unverified
3IMMSE1.16Unverified
4Adobe LS-GANMSE0.97Unverified
#ModelMetricClaimedVerifiedStatus
1PP-MattingSAD40.69Unverified
2DCAMSAD31.27Unverified
3ViTMatteSAD17.05Unverified
4DiffMatteSAD15.5Unverified
#ModelMetricClaimedVerifiedStatus
1MODNet+MAD0.81Unverified
#ModelMetricClaimedVerifiedStatus
1MODNet+ (Our)MAD0.97Unverified