Skip to content

Latest commit

 

History

History
18 lines (16 loc) · 697 Bytes

README.md

File metadata and controls

18 lines (16 loc) · 697 Bytes

KTJ-Datathon

This Repo contains our code and results for Kshitij'22 Datathon Event.

We used StudioGAN 0.2.0 release to train the SNGAN model.
StudioGAN Repo: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN
This repo contains:

  1. Our Abstract
  2. the config file that we used in the json format.
  3. A log file which has all th hyperparameters and model architecture.
  4. The code which was used to train ResNet to predict latent codes (described briefly in abstract).
  5. The code for Car segmentation masking.
  6. The results of our model during various training stages in form of image grid.

Team Members:
Vaibhav Tripathi
Eshaan Agrawal
Lavish Bansal
Vivek Agrawal