Deep Fashion Design in the Wild - GitHub Pagesย ยท This project aims at making fashion design...
Transcript of Deep Fashion Design in the Wild - GitHub Pagesย ยท This project aims at making fashion design...
Gatys, L. A., Ecker, A. S., & Bethge, M. (2015). A neural algorithm of artistic style. arXiv preprint
arXiv:1508.06576.
๐ฟ๐๐๐๐ =
๐๐
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(๐ต๐๐ โ ๐๐๐)2
Supervisor: Prof. Tang, Xiaoou
Group members: Wang, Pei Niu, Haoying Liu, Litian
Deep Fashion Design in the Wild
Background
Project Overview
Experiments
Implication
References
Methodology
Foreground Segmentation : GrabCut
Style Transfer: CNN style transfer
Clothes Image Additional Elements
Style Image
Segmentation
(GrabCut)
Style Transfer
(CNN)
Synthesis and Process
Transferred Clothes Image
Synthesized Image
Modified Loss Function
๐ฅ: generated image.
๐: original content image.
Bij: direction/tangent of the gradient of ๐ at (i, j)
1. Initialization
Content or random image as initial image
2. Optimizer
3. Modified Loss Function
4. Final Results
Content image (with logo) Style Image Random Initialization Content Initialization
Content image Style Image Adam Optimizer L-BFGS Optimizer
Content image Style Image With Modified Loss Function Original Output
Clothes Images/Sketches
Additional Elements
Style Patterns
This project aims at making fashion design accessible for everyone. Girls can add
desired fashion elements to their daily photos. Combining with the advance of 3D
printing, it has the potential to unleash people's creativity and the pursuit of aesthetics.