From 01d27a7cbfa8502be1d8dbd4ee02fcbd5e44389d Mon Sep 17 00:00:00 2001 From: Liangwei Jiang Date: Fri, 23 Dec 2022 22:44:03 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 40d5d7460..88d5a093e 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ This is an unofficial implementation of **Image Super-Resolution via Iterative R There are some implementation details that may vary from the paper's description, which may be different from the actual `SR3` structure due to details missing. Specifically, we: - Used the ResNet block and channel concatenation style like vanilla `DDPM`. -- Used the attention mechanism in low-resolution features ($16 \times 16$) like vanilla `DDPM`. +- Used the attention mechanism in low-resolution features ( $16 \times 16$ ) like vanilla `DDPM`. - Encode the $\gamma$ as `FilM` structure did in `WaveGrad`, and embed it without affine transformation. - Define the posterior variance as $\dfrac{1-\gamma_{t-1}}{1-\gamma_{t}} \beta_t$ rather than $\beta_t$, which gives similar results to the vanilla paper.