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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. …

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 80…

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 facto…

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…

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 …

Great, thanks for the advice!

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

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

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

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 wo…