Official Pytorch code for "AesUST: Towards Aesthetic-Enhanced Universal Style Transfer" (ACM MM 2022)
-
Updated
Dec 31, 2022 - Python
#
universal-style-transfer
Here are 3 public repositories matching this topic...
-
Updated
Dec 11, 2017
Arbitrary style transfer to content Images through "Adaptive Instance Normalization" (Ada-IN) and "Whitening and coloring transforms" (WCT)
-
Updated
Jul 14, 2024 - Jupyter Notebook
Improve this page
Add a description, image, and links to the universal-style-transfer topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the universal-style-transfer topic, visit your repo's landing page and select "manage topics."