Submitted by CeFurkan t3_11crj99 in MachineLearning
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Submitted by CeFurkan t3_11crj99 in MachineLearning
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For upscaing there are many ESRGAN opens ource models
ye i tried that. actually that upscale is done by an ESRGAN model. which model you think best for this job?
i see. i will check out ty
Second topaz. Looks like you have a ton of artifacts and upscaling models alone won’t help with that. Try out the demo before you pay for it though! Iirc it just leaves a watermark
the best option at this point would be to use a combination of in-painting and super-resolution, I dont know of a model that can do both but you can do it with stable diffusion in two steps.
Remove degraded areas with mask and use inpainting and then use inpainted result for super-resolution
it has like 10k frames for 7 min video :d
24 fps 7 min
i really need automated way
You can find the frames with artifacts, use a median filter or something to find the frames with degradation, and then mask it, though it will still be atleast a couple of days of work
Actually, this may not be exactly what you want, but it’s at least related
thanks a lot i am going to give it a try
Current ML don’t have that kind of temporal consistency and it’s not particularly hot and flashy topic right now
You might want to somehow stabilize the video first maybe
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the320x200 t1_ja513d4 wrote
It's paid, but Topaz Video AI is worth the cost of you're upscaling/restoring video a decent amount.
All solutions have their limits though. The example image you attached is quite degraded and ML isn't at the point where that much corruption can be restored automatically.