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 151175 of 225 papers

TitleStatusHype
Disentangled Image Matting0
Efficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors0
Efficient Video Segmentation Models with Per-frame Inference0
EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting0
Enhancing Image Matting in Real-World Scenes with Mask-Guided Iterative Refinement0
FactorMatte: Redefining Video Matting for Re-Composition Tasks0
Foreground color prediction through inverse compositing0
Foreground segmentation based on multi-resolution and matting0
Frequency-Based 3D Reconstruction of Transparent and Specular Objects0
Frequency-Based Environment Matting by Compressive Sensing0
Fristograms: Revealing and Exploiting Light Field Internals0
Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks0
Generative Adversarial Training for Weakly Supervised Cloud Matting0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP0
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning0
Hierarchical and Progressive Image Matting0
Hierarchical Opacity Propagation for Image Matting0
Highly Efficient Natural Image Matting0
High-Resolution Deep Image Matting0
Semantic-guided Automatic Natural Image Matting with Trimap Generation Network and Light-weight Non-local Attention0
ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation0
Image Matting With KL-Divergence Based Sparse Sampling0
Image Matting with Local and Nonlocal Smooth Priors0
Image matting with normalized weight and semi-supervised learning0
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation0
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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