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Found 3 papers, 2 papers with code
FETNet: Feature Erasing and Transferring Network for Scene Text Removal
To tackle these problems, we propose a novel Feature Erasing and Transferring (FET) mechanism to reconfigure the encoded features for STR in this paper.
PSSTRNet: Progressive Segmentation-guided Scene Text Removal Network
In each iteration, the original image, previous text removal result, and text mask are input to the network to extract the rest part of the text segments and cleaner text removal result.
MSLKANet: A Multi-Scale Large Kernel Attention Network for Scene Text Removal
For obtaining large perceptive fields and global information, we propose multi-scale large kernel attention (MSLKA) to obtain long-range dependencies between the text regions and the backgrounds at various granularity levels.
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