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Just a word of caution: all these enhancement tools are making an informed guess to create each new pixel. The original information was lost and no one can't retrieve it, whether it's shape or color. (I've heard technical people claim otherwise.)
Finally all the CSI and detective shows are believable again: ENHANCE!!!
Let's Enhance: https://www.youtube.com/watch?v=Vxq9yj2pVWk
Finally all the CSI and detective shows are believable again: ENHANCE!!!
These enhance effects typically use guesswork. That would be useful to gain hints, but not to know for sure what the original looked like.
Tangent to that: does anyone know if there are any free-to-use tools (or open-source models) for doing video-based image super-resolution?
(I imagine that such a tool could take video files directly; but that the actual underlying model would likely require that you first convert your video into an image containing a grid of sampled frames, making it essentially an image2image model that learns to sample from reference images. A bit like the image2image models trained to output depth maps given stereo-camera photo pairs.)
Not as good yet (at least in this case): * original: https://upcdn.io/12a1z2u/image/uploads/2024/07/18/4kU68cBDKF... * "10K" enhanced: https://replicate.delivery/czjl/gFpKKIlEKKZrL1lfqxXlpQrOBbe9...
Haven't tried yet but on a side note: why is the website opening Spanish by default instead of English?
Not as good yet (at least in this case): * original: https://upcdn.io/12a1z2u/image/uploads/2024/07/18/4kU68cBDKF... * "10K" enhanced: https://replicate.delivery/czjl/gFpKKIlEKKZrL1lfqxXlpQrOBbe9...
The original contains artifacts that tend to arise after compression, as the other poster notes (posterization and such). I wonder if you'll get better results if you make the original go through a gaussian to smooth those artifacts, and then feed it to the enhancer.