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serious artifact with sequences "foliage", "bridge" for 4x scale #509
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i followed official docs. THe command of my tests: python demo/restoration_video_demo.py --start_idx 0001 --filename_tmpl "{:04d}.png" ./configs/restorers/basicvsr/basicvsr_reds4.py https://download.openmmlab.com/mmediting/restorers/basicvsr/basicvsr_reds4_20120409-0e599677.pth /home/fjin2/workspace/tensorflow/TecoGAN/LR/foliage/ ./outputs/foliage_BasicVSR |
torch: 1.9.0 |
looks like basicVSR accumulate errors. In my test, first 60 frames look good. Then artifact start to show and become more serious with more frames processed |
In your case, I think the degradations in your test images are not the same as those during training. From what I know, TecoGAN did not use bicubic downsampling. |
thanks for your advice. BTW, can you share matlab code of bicubic downsampling? |
We simply use |
i see, thanks a lot. |
I used imresize('foliage", 0.25) to generate LQ foliage sequence. Then I ran below (this is reds4 model). I do not see serious artifact as above. Also, first 30 frames look reasonable. But artifact starts to show up after 30 frames. Please check attachement python demo/restoration_video_demo.py --start_idx 0001 --filename_tmpl "{:04d}.png" ./configs/restorers/basicvsr/basicvsr_reds4.py https://download.openmmlab.com/mmediting/restorers/basicvsr/basicvsr_reds4_20120409-0e599677.pth /home/fjin2/workspace/tensorflow/TecoGAN/LR/foliage_bicubic/ ./outputs/foliage_bicubic_BasicVSR |
for the same foliage seq, i also tried vimeo-bi config. It does not have the artifact from reds4. |
There could be a domain gap between Vimeo-90K and REDS. |
I see, thanks. |
Please check the attachments.
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