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 126150 of 225 papers

TitleStatusHype
An Alternative Matting Laplacian0
A propagation matting method based on the Local Sampling and KNN Classification with adaptive feature space0
Attention based Memory video portrait matting0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset0
Automatic Foreground Extraction from Imperfect Backgrounds using Multi-Agent Consensus Equilibrium0
Automatic Portrait Video Matting via Context Motion Network0
Automatic Trimap Generation for Image Matting0
Automating Video Thumbnails Selection and Generation with Multimodal and Multistage Analysis0
Background Matting0
Boosting General Trimap-free Matting in the Real-World Image0
Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation0
Cascade Image Matting with Deformable Graph Refinement0
Color-aware Deep Temporal Backdrop Duplex Matting System0
Colored Transparent Object Matting from a Single Image Using Deep Learning0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach0
DART: Depth-Enhanced Accurate and Real-Time Background Matting0
Deep Image Compositing0
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision0
Designing Effective Inter-Pixel Information Flow for Natural Image Matting0
DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation0
DiffusionMat: Alpha Matting as Sequential Refinement Learning0
Digital Makeup from Internet Images0
Disentangled Image Matting0
Efficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors0
Efficient Video Segmentation Models with Per-frame Inference0
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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