Image Text Removal
1 papers with code • 0 benchmarks • 0 datasets
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Latest papers
EnsNet: Ensconce Text in the Wild
youdao-ai/SRNet
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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.
