You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello
How are you?
Thanks for contributing to this project.
It looks that this method did NOT consider out-of-focus blur or motion blur as low-quality.
Is it possible to use this method for low-quality blurry image generation?
if so, could u guide me how to train a DeFlow model on unpaired dataset consisting high-quality images and low-quality images?
In fact, I looked at your code for training a DeFlow model on my custom dataset.
But the configuration file looks likely to be used for training image super-resolution model rather than simple high-quality-to-low quality generator.
The text was updated successfully, but these errors were encountered:
Hello
How are you?
Thanks for contributing to this project.
It looks that this method did NOT consider out-of-focus blur or motion blur as low-quality.
Is it possible to use this method for low-quality blurry image generation?
if so, could u guide me how to train a DeFlow model on unpaired dataset consisting high-quality images and low-quality images?
In fact, I looked at your code for training a DeFlow model on my custom dataset.
But the configuration file looks likely to be used for training image super-resolution model rather than simple high-quality-to-low quality generator.
The text was updated successfully, but these errors were encountered: