Dec 9, 2020 · To offer a better spatial inductive bias, we investigate alternative positional encodings and analyze their effects. Based on a more flexible ...

In this study, we investigate two alternatives for explicit positional encoding, i.e., the normalized Cartesian spatial grid [19] and 2D sinusoidal positional ...

To offer a better spatial inductive bias, we investigate alternative positional encodings and analyze their effects. The impact of positional encoding to the ...

In this study, we investigate two alternatives for explicit positional encoding, i.e., the normalized Cartesian spatial grid [19] and 2D sinusoidal positional ...

We show that the spatial consistent nonlinear activation function cannot influence the weak stationarity in Sec. A.3. Section A.4 shows the bias term will not.

We show that such capability, to a large extent, is brought by the implicit positional encoding when using zero padding in the generators.

Dec 9, 2020 · This work shows that SinGAN's impressive capability in learning internal patch distribution, to a large extent, is brought by the implicit ...

... Positional encoding inserts the positional information of the word into the sentence. The positional encoding might be used as biases to boost the ...

Dec 9, 2020 · To offer a better spatial inductive bias, we investigate alternative positional encodings and analyze their effects. Based on a more flexible ...

Hi,. Like the paper "Positional Encoding as Spatial Inductive Bias in GANs", I would like to resize the random noise input of SinGAN to an arbitrary size.