vs-basicvsr

[Selur]

Will do.
Main issue I have atm. with it, is that when the head covers, most of the image, only parts of the head seem to be processed.
This kind of ruins the image if the person has longer hair.

(using detector = 1, doesn't help either)
https://imgsli.com/MTY2MjEw Suzie with weight=1

[ChaosKing]

At least the face now looks like it belongs to the same person

[Selur]

Here's an example of weight 0 and weight 1: https://imgsli.com/MTY2Mjc4

[Selur]

Did some further testing and if upscale is > 1 (weight=1) and the upscaling is later undone it basically can be used as a 'face detail enhancer' which might be interesting.
Also in combination with FeMaSR (with weight<1) it can be used to fix the face distortions FeMaSR does.

This does not fix the issue with half enhanced heads, but seems to be a good way to use the filter.
SwinIRx4+vsCodeFormer: https://imgsli.com/MTY2NDA3, looks nice frame-by-frame, but isn't really temporally stable => adding 3xQTGMC_type3.

Cu Selur

Ps.: got a nice example of what weight 0 can do: https://imgsli.com/MTY2NDI2,...

[Selur]

Okay, small update in regard to Vapoursynth R62:
TensorRT doesn't support Python 3.11 atm.
Latest TensorRT-package (TensorRT-8.6.0.12.Windows10.x86_64.cuda-11.8.zip) from https://developer.nvidia.com/tensorrt does not contain (TensorRT-8.6.0.12.Windows10.x86_64.cuda-11.8.zip\TensorRT-8.6.0.12\python) a cp311 file.
So all the filters that use TensorRT won't work.
=> Hoping NVIDIA will release a Python 3.11 file in the near (who knows) future.

Cu Selur

[Selur]

Maybe interesting to some:
https://github.com/HolyWu/vs-grlir uses real-world image super-resolution model of GRL for Image Restoration
https://imgsli.com/MTcxMDA1

Cu Selur

[ReinerSchweinlin]

Thanx for all the info.. I think its about time to check out your extended version of hybrid, including all the nice "AI" stuff not included in the normal release

[Selur]

@RainerSchweinlin: Send you a pm with links to my current dev + torchAddon.

[ReinerSchweinlin]

Originally Posted by Selur

@RainerSchweinlin: Send you a pm with links to my current dev + torchAddon.

Merci

[Selur]

btw. vs-grlir just got updated and not supports multiple models, cuda_graphs, fp16.

 :param model:           Model to use.
                             0 = Blind Image SR
                             1 = Defocus Deblurring
                             2 = Motion Deblurring (GoPro)
                             3 = Motion Deblurring (RealBlur-J)
                             4 = Motion Deblurring (RealBlur-R)
                             5 = Demosaicking
                             6 = Denoising (sigma 15)
                             7 = Denoising (sigma 25)
                             8 = Denoising (sigma 50)
                             9 = JPEG compression artifact removal (quality 10)
                            10 = JPEG compression artifact removal (quality 20)
                            11 = JPEG compression artifact removal (quality 30)
                            12 = JPEG compression artifact removal (quality 40)
                            13 = Classical Image SR (scale 2)
                            14 = Classical Image SR (scale 3)
                            15 = Classical Image SR (scale 4)

source: https://github.com/HolyWu/vs-grlir/b...ir/__init__.py
Models 0, 12-15 are for upscaling, the others are for filtering.
Nice!

Cu Selur