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 150 of 225 papers

TitleStatusHype
ViTMatte: Boosting Image Matting with Pretrained Plain Vision TransformersCode4
ZIM: Zero-Shot Image Matting for AnythingCode3
What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?Code3
Robust High-Resolution Video Matting with Temporal GuidanceCode3
Real-Time High-Resolution Background MattingCode3
MaSS13K: A Matting-level Semantic Segmentation BenchmarkCode2
Memory Efficient Matting with Adaptive Token RoutingCode2
Towards Natural Image Matting in the Wild via Real-Scenario PriorCode2
Alfie: Democratising RGBA Image Generation With No $Code2
MaGGIe: Masked Guided Gradual Human Instance MattingCode2
In-Context MattingCode2
Matting AnythingCode2
Matte Anything: Interactive Natural Image Matting with Segment Anything ModelsCode2
RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head AvatarsCode2
Deep Image Matting: A Comprehensive SurveyCode2
Robust Human Matting via Semantic GuidanceCode2
Referring Image MattingCode2
Deep PCB To COCO ConvertorCode2
MatteFormer: Transformer-Based Image Matting via Prior-TokensCode2
MODNet: Real-Time Trimap-Free Portrait Matting via Objective DecompositionCode2
Castle in the Sky: Dynamic Sky Replacement and Harmonization in VideosCode2
Fast Multi-Level Foreground EstimationCode2
Background Matting: The World is Your Green ScreenCode2
PyMatting: A Python Library for Alpha MattingCode2
VRMDiff: Text-Guided Video Referring Matting Generation of DiffusionCode1
Training Matting Models without Alpha LabelsCode1
FADE: A Task-Agnostic Upsampling Operator for Encoder-Decoder ArchitecturesCode1
Learning Trimaps via Clicks for Image MattingCode1
End-to-End Human Instance MattingCode1
Unifying Automatic and Interactive Matting with Pretrained ViTsCode1
Diffusion for Natural Image MattingCode1
Video Instance MattingCode1
OmnimatteRF: Robust Omnimatte with 3D Background ModelingCode1
On Point Affiliation in Feature UpsamplingCode1
dugMatting: Decomposed-Uncertainty-Guided MattingCode1
Adversarially-Guided Portrait MattingCode1
Adaptive Human Matting for Dynamic VideosCode1
Revisiting Context Aggregation for Image MattingCode1
CAP-VSTNet: Content Affinity Preserved Versatile Style TransferCode1
TransMatting: Tri-token Equipped Transformer Model for Image MattingCode1
End-to-End Video Matting With Trimap PropagationCode1
Ultrahigh Resolution Image/Video Matting With Spatio-Temporal SparsityCode1
Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image MattingCode1
SAPA: Similarity-Aware Point Affiliation for Feature UpsamplingCode1
Self-supervised Matting-specific Portrait Enhancement and GenerationCode1
TransMatting: Enhancing Transparent Objects Matting with TransformersCode1
One-Trimap Video MattingCode1
FADE: Fusing the Assets of Decoder and Encoder for Task-Agnostic UpsamplingCode1
Human Instance Matting via Mutual Guidance and Multi-Instance RefinementCode1
Exploring the Interactive Guidance for Unified and Effective Image MattingCode1
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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