HI version is available. Content is displayed in original English for accuracy.
Advertisement
Advertisement
⚡ Community Insights
Discussion Sentiment
84% Positive
Analyzed from 1319 words in the discussion.
Trending Topics
#real#camera#fake#processing#post#photo#moon#something#raw#image

Discussion (54 Comments)Read Original on HackerNews
There's also a lot of confusion around the processing here. The iPhone is mostly just taking multiple pictures and stacking them on top of each other to make up for the poor performance of the small hardware, denoising, and then applying a mask to subjects to lift shadows and adjust skin tones. This is the same kind of edit a photographer would do in Lightroom. It's not straight up AI generating content in the image.
Sadly Android phones are willing to pull cheap tricks to show better numbers or look better in some comparative youtube video so they pull this stuff.
Me I just switched back to film. It’s about a buck a picture but I like the results I get, I’d rather have 30 photos than 300 to look through anyway.
Alternatively, buy a mirrorless or DSLR with some decent lenses.
You should analyze the subject who is providing that text / video and decide for yourself, whether you trust that subject or not.
E.g. "Elon Musk is 10 feet tall" - are you reading it on an anonymous X account or on a Business Insider social account? An attached photo of Elon Musk being 10 feet tall does not make a difference.
It's fascinating to see how much post-processing gets done.
I would find the link, but I’m balancing my phone on my knee while trying to eat dinner and pretend I’m not playing with my phone while eating dinner…
4.14.3 Camera Image Optimization
The camera image optimization AI algorithm is mainly used in the following camera features: Super Moon, AI Camera, Document Mode, Front Portrait Mode with Background Blurring, and Beautify.
https://trust.mi.com/docs/miui-privacy-white-paper-global/4/...
I cant fathom how this was a "if they know it doesnt matter at all" situation.
A complete acceptance of real / fake, who cares its about stuff looking great.
I mean I can be told it but I cant understand why you would waste millions on real works just to have fake ones, why not just go all fake? If its a half way house then does no one care what is real?
IE on linkedin somany AI videos with thousands of comments and likes and I become lost on ... do most poeple just not care if its real or not? I dont think they do at all. Am I mad to care?
Its very easy to say well everyone uses filters and they are not real. And its true! But somewhere and I have no idea where, there seems tobe a line for me where I say no, thats not cricket, you cant just replace part of an image with a template of something else. I have no idea tho any thoughts appreciated.
I work with VFX and try to always have something real in the shot. Explosions and the like are easier to expand but quite difficult to just add to empty shot. Fireworks are a bit easier but there is interplay with the environment which is hard to fake.
All these films where they announce ”we did it for real with practical effects” usually mean that it’s a mix and match between practical and computer generated effects. It can look better than either on their own.
Also I guess they had audience there so you need something for them as well.
Perhaps they needed some real fireworks for those there in person, and to be able to claim that there really was a fireworks show, but wanted to amp it up for those viewing the event virtually (most of the world).
If you look at the way Chinese AI companies act compared to American ones, it's easy to see how people feel this way.
What I found though was that I had to use the pro mode (which I use for basically everything anyway, to avoid exactly the kind of issues this article is talking about).
I did try on normal photo mode and I think what was happening was that as soon as I covered one lens with the glasses it switched to another.
https://www.theverge.com/2023/3/13/23637401/samsung-fake-moo...
The problem is philosophical - people are upset by certain types of enhancement error, but not others, and they can't even articulate the difference to themselves, let alone to an AI.