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Decomposing Image Generation Into Layout Prediction and Conditional Synthesis
Learning the distribution of multi-object scenes with Generative Adversarial Networks (GAN) is challenging. Guiding the learning using semantic intermediate representations, which are less complex than images, can be a solution.