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Implementation code of the paper "Optimizing the Latent Space of Generative Networks" https://arxiv.org/abs/1707.05776 for CelebA data

Python 100.00%

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generative-latent-optimization-glo--pytorch-celeba's Issues

Difference between the 'Generation test' and 'Reconstruction Test'

Hi,
What is basic difference between the Generation test, and Reconstruction test?

My understanding is that in Reconstruction test, you use the optimized latent code 'Z' to reconstruct the images, whereas in the Generation test, you sample 'newly' sampled latent code 'Z' to check the images. And also in both cases, the generator is same.

Kindly correct me if am wrong.

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