Polar Matte: Fully Computational Ground-Truth-Quality Alpha Matte Extraction for Images and Video using Polarized Screen Matting
Kenji Enomoto, T. J. Rhodes, Brian L. Price, Gavin Miller
摘要
Input images of target scene Extracted ground-truth alpha matte Target scene composited onto a new background Capture setup polarized screen polarization camera unpolarized light polarized light Figure 1. PolarMatte extraction method. A modern polarization camera with a color polarization filter array (CPFA) is used to capture four polarization states of a target scene and polarized background separately as input images. Our method extracts the alpha matte and foreground color which can be composited onto an arbitrary background. The highlighted regions show fine-details, glasses, and motion blur. We can computationally extract alpha mattes for dynamic scenes containing various materials without manual corrections.
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引用它的顶会 Paper2
- PolarAnything: Diffusion-based Polarimetric Image SynthesisKailong Zhang, Youwei Lyu, Heng Guo, Si Li 等ICCV 2025 · 被引用 3 次
- Polarized Color Screen MattingKenji Enomoto, Scott Cohen, Brian L. Price, T. J. RhodesCVPR 2025
它引用的顶会 Paper10
- Indices Matter: Learning to Index for Deep Image MattingHao Lu, Yutong Dai, Chunhua Shen, Songcen XuICCV 2019 · 被引用 206 次
- Disentangled Image MattingShaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang 等ICCV 2019 · 被引用 127 次
- Attention-guided Temporally Coherent Video Object MattingYunke Zhang, Chi Wang, Miaomiao Cui, Peiran Ren 等ACM MM 2021 · 被引用 31 次
- Video Matting via Consistency-Regularized Graph Neural NetworksTiantian Wang, Sifei Liu, Yapeng Tian, Kai Li 等ICCV 2021 · 被引用 31 次
- Boosting Robustness of Image Matting with Context Assembling and Strong Data AugmentationYutong Dai, Brian L. Price, He Zhang, Chunhua ShenCVPR 2022 · 被引用 24 次
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