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Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Thank you for the excellent work of the shadow removal, and where can i get the code of this work~
Hi! Thank you for the excellent work of the shadow removal, and where can i get the demo. The proposed ST-CGAN inspires me in other areas of research.
Can you share UCF dataset used in your paper?
Can you provide the evaluation code to reproduce the numbers reported in your papers? I see that the resulting images have been renamed.
Hello! I am trying hard to reproduce your baseline, so your "Original" RMSE values of 32.67 on shadow regions, 6.83 on non-shadow, 10.97 on all.
I downloaded your ISTD dataset from Google Drive, loaded the test images test_A and test_C and computed RMSE on them after converting them to LAB color space.
Why do I get values like 6.9 for "all" regions and not anything near your 10.97? Is there anything I do not understand from your paper?
Thanks in advance!
I am also interested in using GAN to remove image shadows. I haven't found the ISTD dataset yet. Could you share it? My email is [email protected] you very much.
Hi there,
I'd like to say congratulations on this interesting work. I have noticed that you shared the results of shadow removal of your method. It would be great if you could share the results for shadow detection as well for both SBU and ISTD datasets as discussed in your Arxive paper.
Thanks
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