[irhshafkat]

If there is more information in the embedding than the baseline Generator is extracting, then adding in Convolutions between the Transpose Convolution blocks will certainly add more parameters the model could use to learn that.

Since the question is about training speed though, in general, larger models require more data which requires more time to train, so you'd actually increase both your data requirements, and time required to train.