Well ok thanks a lot I’ll definitely check those checks it’s interesting ! I’m lacking some bits of brain space now to fully study that… but definitely later !
As for the scene analyse to deduct a lighting, it’s also quite interesting indeed, can you outline roughly how the algorithm work ? How it considers a good lighting ? More examples could be interesting to get a feel of what result you would expect given some input.
In your main example, both before and after artistic intentions are quite different, it’s weird that it completely removed most of the first proposal…
We can consider that this is a bad lighting because it’s front light, but this could work really well for a flash photography and this could be a starting point for a very interesting image, in real case scenario I don’t think having such a drastic difference would fit.
Maybe something like you have 60/90% of the stuff figured out but it helps with the remaining 40/10% would be more interesting as a real life example…
Indeed I wouldn’t send my scenes. Maybe trying some of the lighting challenges as experiments :
Would be fun to see how your algorithm manage with various test cases.
Hum… As said, sanity check is part of a professional studio tool, generally checks are added as problems occurs. Generally they have two modes : 1 diagnose 2 fix when appropriate…
As for the lighting tool, well if you’re a professional doing lighting, you know how to light right ?
So while the check tool could fit an intermediate or advanced user, the second one is likely to fall really into the beginner category.
It’s also worth mentioning what kind of industry it’s targeted at… maybe that can work for basic product viz where it’s recurring lighting pattern but in this case, probably presets would fit better as you can test different stuff and then tweak the result.
For basic arch-viz maybe that would produce something… Anyway what am I seeing in your test example, is everything adjusted automatically by AI ? Or it gave you guidelines you tried to follow ?
For illustrative work, well then it should understand creative decisions, context, style, there are also a lot of constraints that probably the AI can’t integrate in it’s diagnostic.
In the end how good is your tool, or how relevant it is to a professional depends on how clever you tool is and how meaningful the feedback is. It can be fun to run that last example image through your AI as see what it has to say, then I’ll give you some feedback on that !
You also mentioned iterations and stuff like that but it’s to me a mix-match of various feedback you can get. If you work for an art director, they have a vision and they help you to get there, and yes there are some iterations and back and forth.
When you seek advice from peers, they give some feedback but it’s our job to understand and process that. In that case they point out a problem, but you have to understand why it’s a problem to them and what is the most appropriate way to solve it. From there iterations append but you need to provide something that seems to you an appropriate solution to that issue.
All in all, while AI can find some stuff, they have limited understanding of the subject, the purpose, and also the history of the project and obviously they don’t react emotionally, which is the point of our work. So yeah you can see what it has to say but it cannot act as an art director or even peers. I don’t think you can learn a lot by having an AI as a teacher or supervisor. At least it goes down to how clever it is. So maybe getting some understanding of it’s logic might help answering that. From there it’s easier to see who is going to benefit that and at which point our skills starts to outperform those of the AI …