Supplementary Material DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs
–Neural Information Processing Systems
BigGAN to learn more detailed network information. The learning rate of the generator is 0.0001, and the one of the encoder, adaptor and discriminator is 0.0004 with exponential decay We also evaluate our method using fewer animal faces. Interpolation by keeping the input image fixed while interpolating between two class embeddings. The first column is the input images, while the remaining columns are the interpolated results. Further results on the Animal faces dataset.
Neural Information Processing Systems
Nov-14-2025, 10:46:45 GMT
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