-
Notifications
You must be signed in to change notification settings - Fork 0
colossalg/Neural-Style-Transfer
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
CITS4404 Group Project ====================== This folder contains all of the resources for the CITS4404 group project. The group members for this team were: + Angus Wylie (21962246) + Lucie Cunningham (22260943) + Jehan Sappideen (19523162) Contents -------- The directory tree looks roughly as follows: . |- Code | |- Content ... | |- Texture ... | |- Results ... | |- Content Reconstruction.ipynb | |- Texture Reconstruction.ipynb | |- Style Transfer.ipynb | |- Papers | |- Gatys et al. Style Transfer.pdf | |- Gatys et al. Texture Synthesis.pdf | |- Report | |- Images ... | |- CITS4404-Report.md | |- CITS4404-Report.pdf The Content, Texture and Results directories contain the corresponding images used and generated in the content reconstruction, texture reconstruction and style transfer notebooks. Content Reconstruction.ipynb is the notebook containing the content reconstruction implementation. Texture Reconstruction.ipynb is the notebook containing the texture reconstruction implementation. Style Transfer.ipynb is the noteook containing the style transfer implementation. The Papers directory contains the two papers: "Style transfer using convolutional neural networks" and "Texture synthesis using convolutional neural networks" by Leon A. Gatys and his colleagues that this work is based off. The Report directory contains the report for this project both in the original markdown and as a pdf. Running the Code ---------------- The notebooks were developed using TensorFlow in the Google Colab environment to make use of the GPU kernel. It is recomended that you run the code in Colab if possible. You may need to change some variables within the notebooks regarding the paths of the images. In particular there is a variable called 'root' which must be changed in each notebook.
About
An implementation of the paper "Image Style Transfer Using Convolutional Neural Networks" by Gatys et al.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published