yang-song / score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Home Page:https://arxiv.org/abs/2011.13456

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Why does the approximate equality in Eq.(24) holds?

chenweize1998 opened this issue · comments

Hi! When I'm reading the proof that DDPM is a discretization of the VP-SDE in Appendix B of https://openreview.net/pdf?id=PxTIG12RRHS, I don't understand why Eq.(24) holds. I know that when $x\ll 1, \sqrt{1-x} \approx 1-x/2$. However, In Eq.(24), $\beta(t+\Delta t)\Delta t$ seems to not satisfy this condition, because $\beta(t)=N\beta_i$, and when $\Delta t\rightarrow 0, N\rightarrow \infty$. Could you explain why this approximate equality still holds?

As mentioned in the paper around Eq.(24), you may notice that $\Delta t = 1/N$. Since $\beta_i \ll 1$ holds, $\beta(t+\Delta t)\Delta t$ actually satisfies the condition.

Oh of course! Just forgot the condition $\beta_i\ll 1$. Thanks!

Hi, on which page does it mention $\beta_i \ll 1$ ? Thanks!