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
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting LossCode0
Towards Enhancing Fine-grained Details for Image Matting0
Multi-scale Information Assembly for Image Matting0
Video Matting via Consistency-Regularized Graph Neural Networks0
Improved Image Matting via Real-time User Clicks and Uncertainty Estimation0
Deep Image Compositing0
Attention Transfer Network for Nature Image MattingCode0
High-Resolution Deep Image Matting0
Guided Collaborative Training for Pixel-wise Semi-Supervised Learning0
Complex Network Construction for Interactive Image Segmentation using Particle Competition and Cooperation: A New Approach0
An Advert Creation System for 3D Product Placements0
GIMP-ML: Python Plugins for using Computer Vision Models in GIMP0
JMNet: A joint matting network for automatic human matting0
Hierarchical Opacity Propagation for Image Matting0
AlphaNet: An Attention Guided Deep Network for Automatic Image Matting0
Background Matting0
Sub-frame Appearance and 6D Pose Estimation of Fast Moving ObjectsCode0
Colored Transparent Object Matting from a Single Image Using Deep Learning0
Generative Adversarial Training for Weakly Supervised Cloud Matting0
Context-Aware Image Matting for Simultaneous Foreground and Alpha EstimationCode0
Deeply Matting-based Dual Generative Adversarial Network for Image and Document Label Supervision0
Non-Causal Tracking by DeblattingCode0
Disentangled Image Matting0
Index NetworkCode0
Indices Matter: Learning to Index for Deep Image MattingCode0
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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