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PyTorch Implementation of Noise2Noise (Lehtinen et al., 2018)

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I train the model on val2017 dataset and my own dataset, but the valid result is about 21db, have you tested them ?Thank you!

Hi Authors, I found the official implementations of adding poission noise use the following methods: https://github.com/NVlabs/noise2noise/blob/c40a0481198bb524d0b70c2cc452f21bd7aec85c/train.py#L47 return np.random.poisson(chi*(x+0.5))/chi - 0.5 Do you think we can utilize this method?

Dear Authors, There are no instructions on how to use the code for my own noisy-noisy pairs. The current code takes a dataset of images as input and applies two...

Hello, I would like to ask, why the test image I input is 1024 * 1024, but the output is indeed 256 * 256, and I did not see where...

https://github.com/joeylitalien/noise2noise-pytorch/blob/7942c06f924e2244d91fc8c1aff1c2e3991e0eae/src/unet.py#L82 I think enconv(i), i=2,...,5 should be defined separatedly or they will share the same weights.

Traceback (most recent call last): File "train.py", line 7, in from datasets import load_dataset File "/Users/snehagathani/Desktop/noise/src/datasets.py", line 9, in from utils import load_hdr_as_tensor File "/Users/snehagathani/Desktop/noise/src/utils.py", line 12, in import OpenEXR...