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Old 12th August 2022, 07:42   #1  |  Link
10362227
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video remastering

Remastered Vid + Source DL:https://1drv.ms/u/s!AhqDWZobqnZ6dPs0...ygp6k?e=yVnWLw

The total effect is very very amazing. How does he make it? VapourSynth→AI is it possible ??
I tried IVTC→nnedi3→AI to fix it, but the effect is very bad

Compare: https://imgsli.com/MTIwNTQ0
https://imgsli.com/MTIwNTQz

Last edited by 10362227; 12th August 2022 at 12:41.
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Old 12th August 2022, 11:11   #2  |  Link
ChaosKing
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I would start with one of these
https://github.com/Kiyamou/VapourSyn...AN-ncnn-Vulkan
https://github.com/Kiyamou/VapourSynth-SRMD-ncnn-Vulkan
https://github.com/Kiyamou/VapourSyn...SR-ncnn-Vulkan
https://github.com/HolyWu/vs-realesrgan
https://github.com/HolyWu/vs-basicvsrpp

And then there is also https://github.com/rlaphoenix/VSGAN + https://upscale.wiki/wiki/Model_Database
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Old 12th August 2022, 12:21   #3  |  Link
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I‘v tried most of them, The result is not good.
Compare: https://imgsli.com/MTIwNTQ0
https://imgsli.com/MTIwNTQz
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Old 12th August 2022, 22:53   #4  |  Link
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Impressive result indeed! Following.
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Old 12th August 2022, 23:27   #5  |  Link
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just for the fun of it here's what:
SwinIR (real_sr x4) looks like: https://imgsli.com/MTIwNjY2
RealESRGANx4plus looks like: https://imgsli.com/MTIwNjY3
ReaslSR looks like: https://imgsli.com/MTIwNjY4
DPIR+SwinIR_leightweight_sr looks like: https://imgsli.com/MTIwNjY5 (script: https://pastebin.com/UTN3pkJQ)
KNLMeansCL+SwinIR_leightweight_sr looks like: https://imgsli.com/MTIwNjc5
=> so looking a the ESRGAN based resizers is probably the right direction,...
If on were to train a model specifically for such videos there should be a bit more possible,...
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Old 15th August 2022, 00:26   #6  |  Link
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Typical https://www.topazlabs.com/ ?

In my opinion, at this stage of AI development, the best thing you can do to improve video is this:
IVTC
QTGMC(video, Preset='very slow', Sharpness=1.0, InputType=1)
nnedi3 rpow2
any sharpening filter
add some grain

Although I see that many people like Topaz (or anything else AI), I personally see that it only makes the video worse, just a daub

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Old 15th August 2022, 03:58   #7  |  Link
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Quote:
Originally Posted by Jukus View Post
Typical https://www.topazlabs.com/ ?

In my opinion, at this stage of AI development, the best thing you can do to improve video is this:
IVTC
QTGMC(video, Preset='very slow', Sharpness=1.0, InputType=1)
nnedi3 rpow2
any sharpening filter
add some grain

Although I see that many people like Topaz (or anything else AI), I personally see that it only makes the video worse, just a daub
No. His Remastered videos for sale, the price is expensive. I have tried many ways to remaster, but the results ...
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Old 15th August 2022, 07:39   #8  |  Link
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Who would buy slightly less shitty quality? lol
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Old 15th August 2022, 13:50   #9  |  Link
shph
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I agree with Jukus. Most heavy AI resizers are bad for movies. Some AI work well for cartoons. AI processing is too slow.
Here is my usual workflow example:

Overwrite Input Scan Type: BFF
TIVTC FM speed slowest, QTGMC very slow
Color - Matrix Rec.601 to Rec.709
DeBlock - QED 34 36
DeGrain - SMDegrain TR2 (this temporal denoise filter hides a lot of artifacts and makes things look better)
DeRing - HQDering (optional. in most cases for cartoons only)
DeHalo - EdgeCleaner (optional. in most cases for movies only)
Resizer - NNEDI3 8x4 N128 N2
Sharpen - CAS 0.8 (fine tune depending of output resolution)
AddGrain - GrainFactory3 (optional. this will bring back some fine texture and hide possible banding if use 8-bit codec. But same time grain will make codec compression less effective and increase final file size)
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Old 15th August 2022, 14:01   #10  |  Link
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What is TIVTC FM?
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Old 15th August 2022, 15:46   #11  |  Link
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TFMs slow-option <> speed of the field matching function
Code:
slow -

         Sets which field matching fuction is used.  Possible settings:

            0 - normal   (should have the worst accuracy)
            1 - slower
            2 - slowest  (should have the best accuracy)

         This is basically a quality vs. speed option (the slower the function the more
         accurate it should be).  Prior to v0.9.9.1 of tfm this was a boolean value, true
         from previous versions corresponds to a current value of 1 and false corresponds
         to a current value of 0.

         Default:  1  (int)
In Hybrid it's a TIVTC option named 'FM speed'.

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