Edit: This is with the current at the time of writing Studio version of V1.12.6
Had a chance to do some more. This time with a more challenging subject, with some amount of detail.
This is a phone camera, with NR turned off, so even at ISO50 we have some noise. And once again I am using image stacking to acquire a "clean" image for comparison. It's not perfect, but it is quite good.
On a surface level AI Clear has done really well, the noise in the sky is gone, the brick walls appear to have more detail, certain things appear sharper.
Now for a closer look:
This is where, again, I feel like the previous version did a better job. The new version, even or Auto or Low really likes introducing that Perlin noise style pattern and adds greenish/cyan pixels when trying to improve edges (with chromatic abberation).
On a more positive note let's have a look at a noisy version of the same image at ISO800:
Quite impressive how true to the "real" colors the result is. However - I'm not expecting it to fish out real detail from all that noise, but it introduces artifacts (those splotches of sharper bits):
In general I have a question for Topaz - how do you acquire the image pairs of good/bad images? Artificially add noise to images? Take photos with different ISO values?
It seems like stacking would be nearly the best option (for photos without movement anyway) to get good image pairs for training the AI.