Dilated Convolution

I’ve been studying about dilated convolution and that it is used to increase the receptive field of the layer.
My question is that why do we need dilated convolutions to increase the receptive field when a bigger kernel can also increase the receptive filed of the layers?

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Dilation doesn’t increase the number of parameters of a convolution.
But the number of parameter increases with the square of the size of the kernel.