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There is a question about the average inference time on BSD100, Urban100 and Manga109. In Table 6, for EDSR-baseilne, EDSR, RDN, and IMDN, the average inference time becomes less from BSD100 to Manga109. But the image size becomes larger from BSD100 to Manga109. That makes me confused. Did I miss something about this average inference time?
In addition, I used the "test_IMDN.py" script and tested the released "IMDN_x4.pth" on BSD100, Urban100 and Manga109 on 2080 Ti. The average inference times are 9.14ms, 14.37ms and 17.00ms. I think 2080 Ti should be faster than Titan Xp mentioned in your paper. Are there any wrong steps for me?
The text was updated successfully, but these errors were encountered:
Great job!
There is a question about the average inference time on BSD100, Urban100 and Manga109. In Table 6, for EDSR-baseilne, EDSR, RDN, and IMDN, the average inference time becomes less from BSD100 to Manga109. But the image size becomes larger from BSD100 to Manga109. That makes me confused. Did I miss something about this average inference time?
In addition, I used the "test_IMDN.py" script and tested the released "IMDN_x4.pth" on BSD100, Urban100 and Manga109 on 2080 Ti. The average inference times are 9.14ms, 14.37ms and 17.00ms. I think 2080 Ti should be faster than Titan Xp mentioned in your paper. Are there any wrong steps for me?
The text was updated successfully, but these errors were encountered: