That does look promising. My maps are made by random walks -- three traces of two-dimensional fractional Brownian motion with different fractal dimensions and independent random skew. Your Perlin map looks like it could have been done with my generator; probably the gradient is providing skew, and the Perlin noise is effectively being summed over successive steps to produce Brownian motion -- the same general effect, but from a much more accessible procedure
Try compositing multiple walks with different gradients (direction and magnitude) and different noise fields, and you'll probably get results equivalent to mine.
Nicely done!



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