The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;
In addition, the paper states that 101,966 pairs were used as train data, but as shown above, the source code is limited to 4,000.
Was this done to limit the number of iterations when learning at 1,000 epoch?
In the description of paper, the number of trials is 120K. No other items, epoch or mini batch size, are mentioned
On the other hand, the pretrained model says 1000 epoch.
What criteria can be used to reproduce the same environment as the pre-trained model published in the paper or GitHub Code?
https://github.com/menyifang/ADGAN/blob/4dd70649ad136829b92dd6a1a823af7594a0220f/data/keypoint.py#L106
In addition, the paper states that 101,966 pairs were used as train data, but as shown above, the source code is limited to 4,000. Was this done to limit the number of iterations when learning at 1,000 epoch?