4 ms·
I hate to be a debbie downer but the results don't look particularly great to me. For comparison, see "AffGAN" [1] and "LAPGAN" [2] for better (IMO) super-reso
by throwaway287391 10y ago
I hate to be a debbie downer but the results don't look particularly great to me. For comparison, see "AffGAN" [1] and "LAPGAN" [2] for better (IMO) super-resolution results using GAN-like techniques. Granted, all three papers are applied in somewhat different settings (different input/output resolutions, different datasets), so direct comparison is difficult.
[1] https://openreview.net/pdf?id=S1RP6GLle https://openreview.net/pdf?id=S1RP6GLle
[2] https://arxiv.org/abs/1506.05751 https://arxiv.org/abs/1506.05751
- pmoriarty 10y agoAre there any turnkey, easy to use software packages that use LAPGAN or AffGAN for image enhancement? Or are these techniques purely in the research realm at this point?
- dnautics 10y agoYou're not the only one who feels this way; I wasn't very impressed by the adversarial-network synthesized moving GIFs, that everyone went crazy over a few months ago, either.
- ygra 10y agoDoes research always have to yield a result that's better than any other approach? In my understanding it's worthwhile to pursue different ways of approaching a problem even if some of them don't work as well as others (but you don't know that beforehand).
- aHeng 10y agoBasically, this is a survial law in the academic jungle even if depressing.