First thing to note is reduction in dimension and formatted as .PNG.
Second is that the AI blew out the highlights, losing subtle detail, for example the fluting of the columns. This same effect seems to have flattened the facial contours giving the woman's square mouth an unflattering grimace.
It did a striking job at eliminating all "noise" in the body and roof of the auto, giving an initial impression of great crispness and sharpness, but at least some of that "noise" was film grain and/or actual dirt on the car. Ditto texture of the fabric of her dress.
Cool work! It would be even better if there were some more examples on the page though - the one visible looks very impressive, but it's hard to get an idea of general performance, and many viewers may not have old photos to hand or be willing to upload them to see it in action.
It was the 7th result of a Google search for "damaged photo".[1] That's where all of these images came from. The source article for that picture is incidentally a pretty neat Photoshop restoration example.[2]
https://imgur.com/a/hkpkfVJ
I think that link will work for you. Has the original as well as Resemble base on and off. Surprised that it is not more different - think. :D I don't know why I expected to see a chicken melted over the railing.
You are welcome to share these photos on your gallery.
The vast majority of training for this model was done by Microsoft, so I unfortunately cannot shed much insight there.
From this base model, the amount of additional training and improvement depends on how much you want to optimize the original model. If the research model is sufficient, you may only need a few hours.
That said, we are researching our own model and can share the training time and resources required for this new version once we finish (and assuming the results are superior).
Thanks for the details. Yes i would love to hear that. The biggest thing that keeps me off from experimenting with such tech is the lack of resources.
I see sentdex literally burning a $2k Nvidia gpu trying to train some data (on YouTube), so i was just curious on how people did it without burning a massive hole in their pockets.
No worries - just clear pictures of mechanical assemblies (what I had lying around) - nothing for the api to do. But it took a while for me to figure out the API indeed did nothing. Just looking for a little feedback from the API.
original: https://imgur.com/gallery/9CAH8Sk
ai-modified: https://imgur.com/gallery/Ty6stir
First thing to note is reduction in dimension and formatted as .PNG.
Second is that the AI blew out the highlights, losing subtle detail, for example the fluting of the columns. This same effect seems to have flattened the facial contours giving the woman's square mouth an unflattering grimace.
It did a striking job at eliminating all "noise" in the body and roof of the auto, giving an initial impression of great crispness and sharpness, but at least some of that "noise" was film grain and/or actual dirt on the car. Ditto texture of the fabric of her dress.