Live data from Hacker News

Show HN: isometric.nyc – giant isometric pixel art map of NYC

cannoneyed.com

71–80 of 247 posts

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#72
post #53

Earlier quoted context omitted.

That’s exactly right - the fine tuned Qwen model was able to generate seamless pixels most of the time, but you can find lots of places around the map where it failed. More interestingly, not even the biggest smartest image models can tell if a seam exists or not (likely due to the way they represent image tokens internally)

I'm curious why you didn't do something like generate new tiles one at a time, but just expand the input area on the sides with already-generated neighbors. Looks like your infill model doesn't really care about tile sizes, and I doubt it really needs full adjacent tiles to match style. Why 2x2 tile inputs rather than say... generate new tiles one at a time, but add 50px of bordering tile on each side that already ha…

There would have to be some tiles which don't have all four neighbors generated yet.

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#75

amazing work! gemini 3.5 pro reverse engineered it - if you use the code at the following gist, you can jump to any specific lat lng :-) https://gist.github.com/gregsadetsky/c4c1a87277063430c26922b... also, check out https://cannoneyed.com/isometric-nyc/?debug=true ..! --- code below (copy & paste into your devtools, change the lat lng on the last line): const calib={p1:{pixel:{x:52548,y:64928},geo:{lat:40.7514502089…

That second link shows controls but does not have any water effects?

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#77

amazing work! gemini 3.5 pro reverse engineered it - if you use the code at the following gist, you can jump to any specific lat lng :-) https://gist.github.com/gregsadetsky/c4c1a87277063430c26922b... also, check out https://cannoneyed.com/isometric-nyc/?debug=true ..! --- code below (copy & paste into your devtools, change the lat lng on the last line): const calib={p1:{pixel:{x:52548,y:64928},geo:{lat:40.7514502089…

That second link shows controls but does not have any water effects?

As far as I can see, OP tried to implement water shaders but then abandoned this idea.

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#78
This is awesome, and thanks so much for the deep dive into process!!

One thing I would suggest is to also post-process the pixel art with something like this tool to have it be even sharper. The details fall off as you get closer, but running this over larger patch areas may really drive the pixel art feel.

https://jenissimo.itch.io/unfaker

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#79

> I’m not particularly interested in getting mired down in the muck of the morality and economics of it all. I’m really only interested in one question: What’s possible now that was impossible before? Upvote for the cool thing I haven’t seen before but cancelled out by this sentiment. Oof.

I mean this pretty literally though - I'm not particularly interested in these questions. They've been discussed a ton by people way more qualified to discuss them, but I personally I feel like it's been pretty much the same conversation on loop for the last 5 years...

That's not to say they're not very important issues! They are, and I think it's reasonable to have strong opinions here because they cut to the core of how people exist in the world. I was a musician for my entire 20s - trust me that I deeply understand the precarity of art in the age of the internet, and I can deeply sympathize with people dealing with precarity in the age of AI.

But I also think it's worth being excited about the birth of a fundamentally new way of interacting with computers, and for me, at this phase in my life, that's what I want to write and think about.

Re: Show HN: isometric.nyc – giant isometric pixel art map of NYC

#80
post #58

This is awesome, thanks for sharing this! I am especially impressed with the “i didn’t write a single line of code” part, because I was expecting it to be janky or slow on mobile, but it feels blazing fast just zooming around different areas. And it is very up to date too, as I found a building across the street from me that got finished only last year being present. I found a nitpicky error though: in Brooklyn downt…

the classic "water/concrete" issue! There's probably a lot of those around the map - turns out, it's pretty hard to tell the difference between water and concrete/terrain in a lot of the satellite imagery that the image model was looking at to generate the pixel images!
Post reply on HN