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This paper develops a new image synthesis approach to transfer an example image (style image) to other images (content images) by using Deep Convolutional ...
This paper develops a new image synthesis approach to transfer an example image (style image) to other images (content images) by using Deep Convolutional ...
Bibliographic details on Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN.
Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN. H. Zhao, Y. Wang, and Y. Li. CoRR, (2022 ). 1. 1. Meta data. BibTeX key: journals/corr/ ...
This paper proposes a novel saliency constrained method to reduce or avoid such effects. It first evaluates some existing saliency ...
This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing. It covers a range ...
This paper develops a new image synthesis approach to transfer an example image (style image) to other images (content images) by using Deep Convolutional ...
A novel algorithm of Chinese painting style transfer (CPST) towards transferring with unique ink and wash characteristics, which automatically generates ...
Experiments with a publicly available object detection dataset for aerial images demonstrate that the proposed GLS-Net achieves a state-of-the-art detection ...
Here we demonstrate how to use feature representations from high-performing Convolutional Neural Networks to transfer image style between arbitrary images.
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