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hackable_diffusion/lib/corruption/gaussian.py
@@ -30,8 +30,8 @@
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logSNR(t) = 2 log(α(t) / σ(t)).
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-Importantly, the logSNR is a non-decreasing quantity in all considered
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-schedules.
+Importantly, the logSNR is a non-increasing quantity in all considered
+schedules (it goes from +∞ at t=0 to -∞ at t=1).
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The associated forward process is given by
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@@ -42,7 +42,7 @@
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f(t) = log(α(t))',
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g(t)**2 = 2 α(t) σ(t) (σ(t)/α(t))',
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- g(t) = σ(t)sqrt(logSNR_der(t)).
+ g(t) = σ(t)sqrt(-logSNR_der(t)).
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Note that in that case, we not only have (1) but also the more general formula
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