Deep Guided Filtering Layer for PyTorch
Project description
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Official implementation of Fast End-to-End Trainable Guided
Filter.
Faster, Better and Lighter for image processing and dense
prediction.
Paper
Fast End-to-End Trainable Guided Filter
Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
CVPR 2018
Install
pip install guided-filter-pytorch
Usage
from guided_filter_pytorch.guided_filter import FastGuidedFilter hr_y = FastGuidedFilter(r, eps)(lr_x, lr_y, hr_x)
from guided_filter_pytorch.guided_filter import GuidedFilter hr_y = GuidedFilter(r, eps)(hr_x, init_hr_y)
Citation
@inproceedings{wu2017fast, title = {Fast End-to-End Trainable Guided Filter}, author = {Wu, Huikai and Zheng, Shuai and Zhang, Junge and Huang, Kaiqi}, booktitle = {CVPR}, year = {2018} }
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