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khushgrover committed Nov 2, 2020
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**Members**: Piyush Aggarwal, Kartikey Tiwari, Khushnuma Grover

Thapar Institute of Engineering and Technology

We show how a MGN network can be fine-tuned on new images. The network will produce 3d-garments of person and the 3d-body parameters. These 3d-body parameters can be layered on top of SMPL body.

We show how these 3d-garments can be used to mix and match clothing on a model. This can be rendered a website in real-time using **three.js**. For demo purposes we have used https://p3d.in.
**University**: Thapar Institute of Engineering and Technology

### The demo site has been published to : https://khushgrover.github.io/smart-match/

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## **Phase 2 Explaination to approach taken:**

We show how a MGN network can be fine-tuned on new images. The network will produce 3d-garments of person and the 3d-body parameters. These 3d-body parameters can be layered on top of SMPL body.

We show how these 3d-garments can be used to mix and match clothing on a model. This can be rendered a website in real-time using **three.js**. For demo purposes we have used https://p3d.in.

### VIDEO EXPLAINATION

https://drive.google.com/file/d/1QRDrG15-JAS8AP1cJY5Hg9Mgm1-XceyG/view
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https://drive.google.com/file/d/1juuHeB4G0OUVO6JLMe8celSGWUG561fk/view

## Colab notebooks

The local changes have also been shown on Colab Notebooks: (Colab doesn't have a display so we could not display out the resulta and have used SSH and ngrok int local machine for visualization.)

**MGN**: https://github.com/khushgrover/smart-match/blob/main/MultiGarmentNetwork.ipynb
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