We show random examples from the edges → handbags dataset from our BicycleGAN model. If you see a handbag that you like, try reverse Google Image searching for it!
Key:
- Input is the input sketch.
- Ground truth is ground truth image B.
- Encoded is the reconstructed image from the encoded z vector.
- Random sample 01-20 is a synthesized image from a randomly drawn z vector. Note that the latent vectors are aligned across rows.
In other words, Random sample 04, for example, uses the same latent code across all instances.


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