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+--- Thread: Questions regarding BasicVSR++ (/thread-2393.html)
Questions regarding BasicVSR++ - Dan64 - 03.04.2022
I noted that in Hybrid BasicVSR++ is available under 2 different filter tab:
1) Vapoursynth->Frame->Resize
where the available models are: Vimeo-90K (BI), Vimeo-90K (BD)
It is not clear to me the difference of these 2 models.
2) Vapoursynth->Other
where the available models are: NITRE 2021 (1), NITRE 2021 (2), NITRE 2021 (3)
Even in this case it is not clear to me difference of these 3 models.
Could you explain the usage of these 2 different BasicVSR++ modules.
At the address https://github.com/open-mmlab/mmediting/blob/master/configs/restorers/basicvsr_plusplus/README.md
there is a reference on these models, but nothing that helps in understanding the difference, moreover it seems that all these models are used for the Video Super-Resolution.
RE: Questions regarding BasicVSR++ - Selur - 03.04.2022
Difference between the models is just that they are trained with different content and thus will have different effects on different content.
NTIRE = New Trends in Image Restoration and Enhancement workshop and challenges on image and video processing. These are the models that were used in last years NTIRE challenges. See: https://data.vision.ee.ethz.ch/cvl/ntire21/
regarding 1.:
These models are used for upscaling.
regarding 2:
Models are used for denoising and restoration.
Cu Selur
RE: Questions regarding BasicVSR++ - Dan64 - 03.04.2022
I performed some tests, for resize BasicVSR++ is too slow to be used in practice.
For resize the best combination is to use NNEDI3 for resize and BasicVSR++ (with model: NTIRE 2021 (3)) to improve the image quality.
In this case the speed is about 5 fps (with RTX3060 and FP16 enabled) and the final quality comparable with RealESERGAN.
RE: Questions regarding BasicVSR++ - Selur - 04.04.2022
ML stuff is mostly slow, espescially when using higher resolution.
Quote:For resize the best combination is to use NNEDI3 for resize and BasicVSR++ (with model: NTIRE 2021 (3)) to improve the image quality.Happy you found a meaningful way to use it.
Cu Selur