[Research] [1610.10099] Neural Machine Translation in Linear Time • /r/MachineLearning

I wouldn't call PixelRNN to be a direct application of dilated convolutions. They do mention dilation, but I don't think they apply it for their Gated PixelCNN architecture, which I believe is SOTA for image generation (at least in terms in NLL). The other important difference is that the authors don't have a dilated convolution LSTM model for 1-dimensional data i.e wavenet and bytenet. They did explore such a structure in their work on conditional image generation - PixelRNN, Pixel Bi-LSTM etc.