Creating try_on dataset

HSinger04 / VOGUE-Reimplementation

A reimplementation of the VOGUE paper for the IANNwTF WS20/21 course at the University of Osnabrück

1 stars 0 forks source link

Creating try_on dataset #21

Open HSinger04 opened 3 years ago

HSinger04 commented 3 years ago

Things to optimize – prefer generator code: Simple to write and memory-efficient. And maybe try_on doesn‘t need long to train
- Speed
- Memory
What the dataset should look like
- Returns: latent_p, latent_g, seg_p, seg_g

HSinger04 commented 3 years ago

Note: While it makes sense to pre-label images, it doesn't lead to the segmenter not being needed in the training step anymore, since the segmenter also needs to be used for try_on images.