FashionGAN

Milestones and Project plan

Milestones

Milestone 1: DragGAN

• Understand how DragGAN works
• Find a dataset that would be appropriate for our utilization
• Train StyleGAN

Milestone 2: Texture swap

• Find a way to apply a texture change on an image
• Train the Swapping Autoencoder for Deep Image Manipulation
• Implement the Texture swap interface in our project

Milestone 3: User Interface

• Change DragGAN's interface to make it more intuitive for our project

Milestone 4: Deliverables

• Deliver the code on Github
• Write the wiki page
• Prepare the presentations

Project Plan

Week	Tasks	Completion
Week 3	Choose our project between the ones that were presented in class Prepare for the first presentation	✓
Weeks 4-5-6	Find some clothing datasets Read papers, understand how DragGAN works Define the project Get familiar with the libraries we want to use (selenium, opencv...)	✓
Weeks 7-8-9	Scrap the data from nowfashion website Resize images Clean dataset (remove the pictures that aren't in the same format as the other) Get familiar with StyleGAN and its functioning Find a textile dataset	✓
Week 10	Define a precise planning for the following weeks Prepare for the presentation Write the Project Plan and the Milestones on the wiki page Figure out how to implement the texture changes Begin the training of the dataset with StyleGAN	✓
Week 11	Install a Virtual Machine to use linux Finish the training on the VM Get DragGAN to work on the VM	✓
Week 12	Work on the texture changing tool Implement the texture changing interface Start writing the description of the methods on the wiki page
Week 13	Adapt the DragGAN GUI to be more intuitive Finalize and clean the code to then commit it to Github Finish writing the wiki page