I'm wondering if it can be used as a low-discrepancy sequence

For a low-discrepancy sequence you are usually trying to generate one point at a time, up to some arbitrary number. Here the goal is to generate (roughly) a specific number of points that fill a whole region.

So you probably could figure out a way to use this method to make a low-discrepancy sequence but it's probably not going to be particularly suitable compared to alternatives.

	▲	a_e_k an hour ago \| parent [-]
		That's the the difference between a low-discrepancy sequence and low-discrepancy set. The first can generate an infinite number of points, the later targets exactly a specific number. You can often get lower discrepancy if you know up front exactly how many points you'll want. All that said, there's definitely been research into samplers that combine low-discrepancy with blue noise properties (often including retaining those properties even in lower-dimensional projections produced by dropping axis).