Comments (3)
This is an intended behavior. Most of testing images are 8-bit quantized and we want to also capture that in our training set.
from toflow.
This is an intended behavior. Most of testing images are 8-bit quantized and we want to also capture that in our training set.
but uint8 operation will make the noise to be always positive, it will not be a negative number, so it's actually not gaussian noise but "half gaussian noise".
from toflow.
Hi cientgu, you are right, and we have updated our paper, code, and dataset reflecting to this bug. Thank you!
from toflow.
Related Issues (20)
- Pre-training the flow estimation network HOT 7
- Resolution mismatching for interpolation HOT 2
- the noise level of the pretrained denoise model HOT 2
- vimeo-90k HOT 4
- Using ffmpeg to generate image sequence? HOT 1
- Looking forward to the training code. HOT 1
- divide vimeo90K dataset into training set and test set
- septuplet dataset 502 HOT 2
- Running toflow on consecutive frames HOT 1
- What is the number of parameters for this algorithm? HOT 1
- the results of sr model is not correct HOT 2
- Loading the model:
- Confusion on Image Transformation Module HOT 1
- About the box down-sample kernel HOT 2
- About Vimeo Dataset. HOT 1
- Not all septuplets listed in "sep_testlist.txt" and "sep_trainlist.txt". HOT 1
- 2x model
- Issue in SSIM implementation
- License of Vimeo-90K?
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