Really impressed with StrSR!

I've tested quite a few image restoration and super-resolution tools, including SUPIR, Topaz, HYPIR, FiDeSR, CODSR, Real-ESRGAN/HAT and several other approaches, and StrSR is currently one of the best results I've seen in my own testing.

What surprised me the most is how well it handles very low-resolution images. In my tests, I started with a heavily degraded 192×192 portrait and StrSR was able to produce a much more detailed 768×768 result. Running the enhanced result through StrSR a second time produced an even more detailed 2048×2048 image while still keeping the overall facial structure and expression remarkably consistent with the original.

The ability to recover convincing hair, skin, facial, and clothing textures is particularly impressive. It doesn't feel like simple sharpening or conventional upscaling — it actually reconstructs a lot of high-frequency detail.

I've been experimenting with super-resolution for quite a while, and StrSR is currently one of the most impressive image restoration tools I've tested. Great work to the developers! I'm especially interested in seeing how much further the model can be improved in terms of fidelity and identity preservation.

Thank you for making this project available! Looking forward to future releases.

The issue contains positive feedback about StrSR and image super-resolution but does not identify a file, test, entry point, or concrete change. No completion criterion is defined, so there is no actionable research path for a contributor.