Model diagrams of StarGAN and GD-StarGAN.

The yellow arrows and diagonals are our modifications to the StarGAN loss function. The reconstructed image is input into the discriminator, and the discriminator classifies it into the domain of the input image instead of using L1 loss between the reconstructed image and the input image.</p

Training losses of StarGAN, StarGAN with U-net and GD-StarGAN.

Training losses of StarGAN, StarGAN with U-net and GD-StarGAN.</p

Examples of more applications.

Examples of more applications.</p

More experimental results.

More experimental results.</p

Pie chart of the proportion of all kinds of garments.

Pie chart of the proportion of all kinds of garments.</p

Examples of some failed results.

Examples of some failed results.</p

Results of StarGAN, StarGAN with U-net, and GD-StarGAN.

Results of StarGAN, StarGAN with U-net, and GD-StarGAN.</p

Structure of StarGAN generator.

Conv denotes convolution. Deconv denotes deconvolution. The ReLU and tanh as activation function and IN denotes instance normalization.</p

Inception scores for all models.

Inception scores for all models.</p

Images generated by several epochs during StarGAN and StarGAN with U-net training process.

Images generated by several epochs during StarGAN and StarGAN with U-net training process.</p