Image Text Removal

1 papers with code • 0 benchmarks • 0 datasets

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EnsNet: Ensconce Text in the Wild

youdao-ai/SRNet 3 Dec 2018

The feature of the former is first enhanced by a novel lateral connection structure and then refined by four carefully designed losses: multiscale regression loss and content loss, which capture the global discrepancy of different level features; texture loss and total variation loss, which primarily target filling the text region and preserving the reality of the background.

Image Text Removal Scene Text