Introduction
Je me suis mis en groupe avec Romane, erreur.
Motivation
We have no motivation
Deliverables
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
|
|