Deep Learning, Artificial Intelligence, Gan, Generative Adversarial, Generative Ai.
regularization term aims at minimizing the differences of μ and σ between different scales to encourage the consistency: Thus, the final loss for training the i-th generator is defined as: α=50 for the unconditional task, while it is not needed (α=0) for the text-to-image synthesis task. 2. Results