张量流深制导滤波层
guided-filter-tf的Python项目详细描述
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正式实现fast端到端可训练引导
过滤
更快，更好和更轻用于图像处理和密集
预测。
纸张
快速端到端可训练引导过滤器
吴慧凯、郑帅、张君阁、黄凯琪
2018年CVPR
安装
pip install guided-filter-tf
用法
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)
引文
@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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