Show HN: Isopolis – Isometric pixel map of SF
sf.isopolis.city
sf.isopolis.city
https://sf.isopolis.city/dev.html
> The source is Google Photorealistic 3D Tiles. Isometric.nyc explored and rejected the use of 3d building data. It is pretty insane that US gov has free LIDAR data for every city in the US available to the public. I spent <30mins exploring this and stuck to google 3d images. Claude Code whipped up a scraper to stream the 3D Tiles and render with three.js. This gives the best "real" texture base for the model to learn from. Anything else would involve a LOT of manual work to get the inputs right.
> Now that we have the 3D tiles, we need to generate the ground truth pairs for training! Similar to isometric.nyc, I generated a few ghibli-style pixel-art images using Google's Nano Banana. SF terrain is very interesting. There are quite a few distinct features like skyscrapers in FiDi, the hills in the southeast, 2 iconic bridges, lots of coastline, piers, parks, suburban grids and lots of water. I generated a ton of images and curated from them. Getting consistent style was a challenge. There was a LOT of manual trial and error. But as usual, Claude Code added this feature to the dev app that allowed me to select the best images and approve them.
Love that attitude. Me too!
I had to leave out a ton of details in the training process. But at every step, codex/cc built me a dev tool to navigate the complexity. That was such a unique side project experience.
I also feel that some of the technical explanations are a little dense here in the dev blog. I forget who it was who I saw mentioning it here on HN, but I've been having a lot of success with getting models to (re)write technical explanations in https://en.wikipedia.org/wiki/Simplified_Technical_English
FWIW I thought this was really cool.
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Protip, visit About -> FAQ; there are many interesting questions like “What interactive elements are there?”.
Previously discussed: https://news.ycombinator.com/item?id=46401612 (and others).
You're assuming his goals are the same or should be the same as yours.
IMO, it looks really cool, I'm sure it took lots of effort despite the AI coding help, and I thoroughly enjoyed looking at it and taking the tours.
Just because it's possible to create things like this doesn't devalue the work of true pixel artists.
"Satellite images from highly oblique angles are pretty mindblowing"
If u like this u will like that
Naruto: https://floor796.com/#t2l4,684,675
The author continues adding and refining the project, so if it isn't in there yet, perhaps in the future.
Also, there are neighbourhoods and landmarks, but not actual street names as far as I can see? Not to mention transit stops/lines and other fancy stuff one could add...
[1] https://patcoston.com/sc2k/city/images/Calebopolis_Big.png
This could be a great anecdotal benchmark for agent/model progress. I wonder how much easier things have gotten with the latest Codex/Claude vs. when isometric.nyc was made.
Thank you for putting this together. Brought some fun memories back from my time living in SF
Also, I would love to zoom in more. (pls give me the pixels)
I think a better data distribution should eliminate this. Also, my "water detector" was not too good and could be improved.
I wrote about a few of these things here: https://sf.isopolis.city/dev.html
As a devout midwesterner, I didn't think I was going to enjoy the place. Having spent a bit of time there however, and having been shown around by natives, I absolutely get it.
There's so much to see and do packed in a small area, and the air just feels electric.
It's genuinely a different world.
What's the consensus on sharing the stylized assets created by diffusion models based on reference photos from e.g. Google Earth? Can the final output be shared as public domain or do Google, Airbus, et al. still hold some rights over them?
Like the new york one, its just...unpolished. I dare to say slop. I am sure the author put some effort into it, BUT its just not there for me. The wiggly lines, the blurry designs and just everything. With something is pixelart or appears to be, I expected it to be pixel perfect, not just some random picture that looks like pixelart on the first glance.
The idea feels neat, but the execution needs so much more touch and polish. Maybe even handcrafting to be impressive.
I tried out a few ideas, but i think better training data around water will help a LOT.
I suppose that explains the yellow filter and the mixels
There are also a few massive square ponds in the Tenderloin that I am pretty sure do not exist lol
But I like the idea.
Planning to fix in the next version!
Less #127614 more #73ba14
So it looks less like Illinois