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Deep Guided Filtering Layer for TensorFlow

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-tf

Usage

from guided_filter_tf.guided_filter import fast_guided_filter

hr_y = fast_guided_filter(lr_x, lr_y, hr_x, r, eps, nhwc)
from guided_filter_tf.guided_filter import guided_filter
hr_y = guided_filter(hr_x, init_hr_y, r, eps, nhwc)

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}
}

Project details


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