A torch implementation of "Pixel-Level Domain Transfer"

Related tags

Deep Learning torch gan domain-transfer
Overview

Pixel Level Domain Transfer

A torch implementation of "Pixel-Level Domain Transfer". based on dcgan.torch.

Dataset

The dataset used is "LookBook", from Donggeun Yoo.

Training

To train the model, put the LOOKBOOK dataset under repository, resize images to 64*64. Prepare the dataset using prepare_data.ipynb. Then run

th main.lua

You can tune the parameters, such as number of filters, optimizer, etc.

Example results

Example results on LOOKBOOK dataset(top), left is input, right is generated clothes. Results on a similar dataset (bottom). More results will be added soon.

Results

Monitor the performance

  • Install display package with: luarocks install https://raw.githubusercontent.com/szym/display/master/display-scm-0.rockspec
  • Start the server with: th -ldisplay.start
  • Open this URL in your browser: http://localhost:8000

Below shows the results after 7 epochs, each 3*1 block is generated cloth, true cloth, input image. Errors of G, D, and A network will be plotted.

epoch 7

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Comments
  • released training utility enhanced version of this repo

    released training utility enhanced version of this repo

    I had lots of trouble with running this code and found this code has some bugs (e.g. no image padding function which leads to dimension match error.) Also it was a bit inconvenient to change training parameters. Instead, I forked this repo and made a bug-fixed, utility enhanced version. It seems the code works well, so if you are seeking any working code of this paper please refer here. (https://github.com/nashory/pixel-level-dt-torch)

    opened by nashory 2
  • Confusion about main.lua

    Confusion about main.lua

    Hi, thanks for opensource this project. I have some confusions about line 283 in main.lua: local df_dg = netD:updateGradInput(input_img, df_do)

    When you do backpropagation wrt to D, shouldn't you backpropagate to fake image? It seems that you backpropagate to input image here.

    opened by sunshineatnoon 2
Owner
Fei Xia
Research Scientist @google-research, previously Ph.D. @StanfordVL @cvgl Computer Vision and Robotics
Fei Xia
GitHub http://arxiv.org/abs/1603.07442
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