Half Instance Normalization Network for Image Restoration

Last update: Jun 06, 2022

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Overview

HINet

Half Instance Normalization Network for Image Restoration, based on https://github.com/megvii-model/HINet.

Dependencies

NumPy
PyTorch, preferably with CUDA. Note that torchvision and torchaudio are not required and hence can be omitted from the command.
VapourSynth
(Optional) TensorRT. Note that uff and PyCUDA are not required and hence can be skipped from the guide.
(Optional) torch2trt

Installation

pip install --upgrade vshinet
python -m vshinet

Usage

from vshinet import HINet

ret = HINet(clip)

See __init__.py for the description of the parameters.

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Comments

mode 1 tiling issue

using 'HINet(clip=clip, mode=1, device_index=0, tile_x=424, tile_y=480, fp16=True)' I see green artifact uploaded the full script and the source file to my GoogleDrive

Okay, correction, this does also happen when tiling is deactivated, so this seems to be a bug in mode=1. Using clip = HINet(clip=clip, mode=1, device_type="cpu") does not show theses artifacts. (using cpu instead of gpu)

opened by Selur 2
[REQ] Restormer port

Hi HolyWu, thank you as always for all the hard work you do in porting these for VS. Would it be possible to port this as well?

Restormer: Efficient Transformer for High-Resolution Image Restoration

Thank you.

opened by AIisCool 1
[REQ] Investigating Tradeoffs in Real-World Video Super-Resolution code available !

RealBasicVSR by @ckkelvinchan has just been released:

https://user-images.githubusercontent.com/7676947/143370499-9fe4069b-46cc-4f12-b6ff-5595e8e5e0b8.mp4

https://user-images.githubusercontent.com/7676947/143370350-91f751f3-0f33-4ee4-9b1a-b9279bf41c18.mp4

https://user-images.githubusercontent.com/7676947/143370556-9e7019d4-e718-46af-859f-54d5576cd370.mp4

https://user-images.githubusercontent.com/7676947/143370859-e0293b97-f962-476f-acf8-14fad27cea77.mp4

(videos have been compressed. Therefore, the results are inferior to that of the actual outputs)

opened by forart 0

Releases(v1.0.0)

v1.0.0(Nov 12, 2021)
Initial release.

Source code(tar.gz)
Source code(zip)
model(Nov 12, 2021)

Source code(tar.gz)
Source code(zip)
HINet-GoPro.pth(338.27 MB)
HINet-Rain13k.pth(338.28 MB)
HINet-REDS.pth(338.27 MB)
HINet-SIDD-1x.pth(338.28 MB)

Owner

Holy Wu

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