Hacker News Reader

0x12Aon Arbitrary-Scale Super-Resolution with Neural Heat Fields

Hi, this is a complete rework, though the core idea remains the same. Results are now much better due to improved engineering, and we compare to recent SOTA methods up until 2025. Also we have some new experiments and worked a lot on figures and presentation :)

0x12Aon Arbitrary-Scale Super-Resolution with Neural Heat Fields

That's an interesting example! Perhaps too out-of-distribution, though. For fair comparison with other methods, we used the DIV2K training set in our paper, which only comprises 800 images. Would be cool to train a version on a much bigger set, potentially including images similar to what you tried :)

0x12Aon Arbitrary-Scale Super-Resolution with Neural Heat Fields

Hi, author here :) It shouldn’t be OOD, unless its too noisy maybe? And what scaling factor did you use? Single image SR is a highly ill-posed problem, so at higher upscaling factors it just becomes really difficult…

0x12Aon Arbitrary-Scale Super-Resolution with Neural Heat Fields

Author here -- Generally in single image super-resolution, we want to learn a prior over natural high-resolution images, and for that a large and diverse training set is beneficial. Your suggestion sounds interesting, though it's more reminiscent of multi image super-resolution, where additional images contribute additional information, that has to be registered appropriately.

That said, our approach is actually trained on a (by modern standards) rather small dataset, consisting only of 800 images. :)

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

IMO, it hits a nice sweet spot between performance and level of abstraction, especially w.r.t. concurrency and networking. Also I found that you get things done incredibly fast. I am mostly doing Python and some C, so Go feels like "somewhere in between".

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

Great, thanks for the advice!

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

Yes, it's in my backlog, but I don't have a concrete timeline as of now.

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

Thank you. I found that you can get really productive quite fast in Go, so happy learning :)

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

Thank you! Yes, there is an exponential backoff strategy for reconnection attempts. Supporting SOCKS sounds like a nice idea, I'll look into it!

0x12Aon Show HN: I made an SSH tunnel manager to learn Go

I agree! Honestly, Go made building this quite pleasant, as it has nice abstractions for networking and a great concurrency model. I'm planning to keep it minimal for now, but I would like to add Windows support, SSH multiplexing and maybe some form of throughput measurement. But I'm open to ideas :)