Royalvice / DocDiff

ACM Multimedia 2023: DocDiff: Document Enhancement via Residual Diffusion Models. Also contains 1597 red seals in Chinese scenes, along with their corresponding binary masks.
https://www.aibupt.com/
MIT License
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SYNTHETIC DATASETS #1

Closed lsabrinax closed 1 year ago

lsabrinax commented 1 year ago

Thanks a lot for your work! Will you release the synthetic datasets you used in the paper

Royalvice commented 1 year ago

Hello, the synthesized datasets consist of foreground masks and background document images. I will publish the synthesis code for watermark masks and the mask images for the seals. As for the background document images, they are partly in-house documents and will not be made public. You can collect document images without watermarks and seals from the publicly available document datasets and create your own dataset using transparency fusion (which is also our synthesis method).

lsabrinax commented 1 year ago

Thanks for your reply!

Royalvice commented 1 year ago

Upload Already