Mask Guided Matting via Progressive Refinement Network
Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille
2021Year
41Top-tier citations
Abstract
Input MG (ours) CA [18] GCA [24] BSHM [27] Photoshop Figure 1: A visual comparison of MG and other matting methods including the commercial matting method in Photoshop. The guidance input (see Sec. 5 for details.) is located at the bottom-left of each image. Note that BSHM [27] has an internal segmentation prediction network thus does not take external mask. Best viewed zoomed in.
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Cited by top-tier papers41
- MatteFormer: Transformer-Based Image Matting via Prior-TokensGyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim et al.CVPR 2022 · 82 citations
- SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion ProcessMengyu Wang, Henghui Ding, Jun Hao Liew, Jiajun Liu et al.NeurIPS 2023 · 56 citations
- Privacy-Preserving Portrait MattingJizhizi Li, Sihan Ma, Jing Zhang, Dacheng TaoACM MM 2021 · 52 citations
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- BiMatting: Efficient Video Matting via BinarizationHaotong Qin, Lei Ke, Xudong Ma, Martin Danelljan et al.NeurIPS 2023 · 28 citations
Builds on12
- CutMix: Regularization Strategy to Train Strong Classifiers With Localizable FeaturesSangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh et al.ICCV 2019 · 5,843 citations
- Indices Matter: Learning to Index for Deep Image MattingHao Lu, Yutong Dai, Chunhua Shen, Songcen XuICCV 2019 · 206 citations
- Natural Image Matting via Guided Contextual AttentionYaoyi Li, Hongtao LuAAAI 2020 · 189 citations
- Context-Aware Image Matting for Simultaneous Foreground and Alpha EstimationQiqi Hou, Feng LiuICCV 2019 · 171 citations
- Shape-Texture Debiased Neural Network TrainingYingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei et al.ICLR 2021 · 128 citations
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