Comments (6)
We have already provided the FLOPs in README.md.
FYI
Method | Training Set | Training time (8 GeForceRTX2080Ti batch=32, iter=500k) |
Y-PSNR/Y-SSIM on Manga109 |
Run time (1 GeForceRTX2080Ti , on 256x256 LR image)* |
#Params | #FLOPs | Testing memory |
---|---|---|---|---|---|---|---|
RCAN | DIV2K | 1.6 days | 31.22/0.9173 | 0.180s | 15.6M | 850.6G | 593.1M |
SwinIR | DIV2K | 1.8 days | 31.67/0.9226 | 0.539s | 11.9M | 788.6G | 986.8M |
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Hi, @JingyunLiang ,
The FLops in the above table are calculated with the input resolution=256x256?
from swinir.
Runtime, #FLOPs and testing memory are all calculated on 256x256 LR image for X4 SR.
from swinir.
Hi, @JingyunLiang, how about the FLOPs for the denoising model on 256x256 inputs?
from swinir.
It is similar to the SR model because the main difference is the upsample module. The exact FLOPS for denoising on 256x256 models is 787.993G.
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Feel free to open it if you have more questions.
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Related Issues (20)
- Colab notebook error
- About self-ensemble strategy
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