PMRID
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MegEngine
ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices
according to Eqn. (9) in the paper, variance over f(x) is x*/k+sigma/(k*k) = u*+sigma/(k*k) . it seems this variance dependents on k and sigma or sigma/(k*k). obviously k and sigma...
您的文中说： “we choose the 10s and 30s long-exposure subset captured by the Sony α7s II camera, and manually take out those with visible noise, leaving 214 high quality RAW images”...
Hi, may I know how you did the random brightness and contrast adjustment for training data? Could you recommend a method and adjustment range? Thanks.
hi ,i have a question about the input dataset range ,i have see your paper released model input range is(0,256),if i change the input range to(-1,1) or (0,1)，i am confused...
数据集下载好了，为什么我运行[](https://github.com/megvii-research/PMRID#citation)python3 run_benchmark.py --benchmark /path/to/PMRID/benchmark.json models/mge_pretrained.ckp没反应  一直卡着
Hi，I check your code for k_sigma transform. And I find in sigma process，cvt_b compute by difference of offset and divide by k_a. I think may be we need not divide...
I have a doubt regarding the UNet-5G, UNet-21G comparison with your model.(Table 1) Could you tell me tell about the number of parameters in this model or/ and tell(share) the...
