From bf04b102d097c40bb621af5ad461a6a717de0c8b Mon Sep 17 00:00:00 2001
From: Panjaksli <82727531+Panjaksli@users.noreply.github.com>
Date: Thu, 31 Aug 2023 08:08:54 +0200
Subject: [PATCH] Update README.md

---
 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
index b57368c..0696878 100644
--- a/README.md
+++ b/README.md
@@ -42,6 +42,8 @@ Quality-wise cubl and swish provide smoother upscaled image than relu.
 This repository comes with custom pre-trained model for high quality image upscaling, that achieves far better results than any simple upscaling algorithm (bicubic, bilinear).
 ### Comparison: bicubic vs model vs reference
 ![image](https://github.com/Panjaksli/BNN/assets/82727531/fb3a9592-5987-4eb9-bde0-dccecb1c459e)
+### Lowres anime vs upscale
+![image](https://github.com/Panjaksli/BNN/assets/82727531/388cda89-ed14-4f15-b1ae-efc009cd7a42)
 ### How does it work ?
 The model is trained on the error of reference image and low res image upscaled with bicubic interpolation:\
 d(x) = f(x) - g(x),\