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I've been playing around with other images and definitely agree that the colorizing neural filter is far from perfect. There needs to be a way to make adjustments to separate parts of images rather than just letting the AI take full control. I believe the filter is still in beta.

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3 hours ago, fotografr said:

The b&w conversion looks like it had heavy toning. I wonder if that affected the colorizing? 

Could be, but it also assumed the sky had blue in it, and I think the grass is a weird color, but I'm color blind so what do I know!

I also tried desaturating it about 20% and I liked that much better.  I think this will be great for old family photos because somehow colorizing old photos makes them seem less abstract.

Edited by Likaleica
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4 hours ago, fotografr said:

I've been playing around with other images and definitely agree that the colorizing neural filter is far from perfect. There needs to be a way to make adjustments to separate parts of images rather than just letting the AI take full control. I believe the filter is still in beta.

There is a way to do that in LAB if you make a blending layer and split the sliders. I would have to look it up in the Cabyon Conundrum book by Dan Margulis  though for the exact procedure. 

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5 hours ago, jaapv said:

There is a way to do that in LAB if you make a blending layer and split the sliders. I would have to look it up in the Cabyon Conundrum book by Dan Margulis  though for the exact procedure. 

My interest in this process is actually quite shallow. I love b&w imaging and am not motivated to convert them to colour. I blame a photo editor for ever getting me started with it. 🥴

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Colour photography is but part of the natural evolution of photography. Historically there was a time when portraiture photographers would hand tint in colour a BW print for clients. I remember having seen some such old prints. The results would be simply superb to less than satisfactory. Similarly, possibilities available with evolving photo technology will continue to have a need for someone and somethings, They won't work for all nor for all situations! 

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On 8/28/2022 at 5:48 AM, jaapv said:

I tried it as well, but it does not work on all subjects: The army vehicles were green, the reds on the barrier are strangely coloured, etc. I think it is best for landscape and portraits.

 

Could the Green filtering through under the tree canopy have something to do with the colours going off?

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  • 2 weeks later...

I have not found an easy way to recolorize wrong colorized parts.

Kloning takes over the structure too.

I still have to find out (steep learning curve ahead) how I paint with a transparent colour, I hear suggestions of magic wands (more intelligence. . .) but I'm just very simple-minded. It would be nice if the filter page had something simple to adjust, without having to go to sleect object, hue saturate etc etc.

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'Neural' filters are supposed to learn intuitively and thereby 'approach perfection' with each iteration but from the experience and discussion here there doesn't appear to be a means of feedback into the neural filter that would enable that.

Perhaps the other thing to take into account is that I understand that neural filters learn from a vast pool of photos drawn from sources such as Instagram, Flickr, Smugmug, FB etc and from what I see the current trend is for photos to be over-contrasty and over-saturated (to my eye) so that they stand out against the multitude and grab the viewer's eye.  Perhaps this trend is biasing what the neural filters are trying to do?

Pete.

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The more elements you have in the photo the better, and having a person gives the filter more of what it needs to colorise 'accurately' (lol). I suppose this is why portrait groups work and landscape doesn't.

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