Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction

2021 IEEE/CVF International Conference on Computer Vision (ICCV)(2021)

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摘要
Most existing human matting algorithms tried to separate pure human-only foreground from the background. In this paper, we propose a Virtual Multi-modality Foreground Matting (VMFM) method to learn human-object interactive foreground (human and objects interacted with him or her) from a raw RGB image. The VMFM method requires no additional inputs, e.g. trimap or known background. We reformulate fo...
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关键词
Training,Heating systems,Image segmentation,Computer vision,Three-dimensional displays,Computer network reliability,Computational modeling
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