From 04edb842d33ffcd4d88fbbb1082a836de0015113 Mon Sep 17 00:00:00 2001 From: Rishik Mourya Date: Thu, 3 Dec 2020 23:43:32 +0530 Subject: [PATCH] added final outputs --- README.md | 2 ++ awesome_outputs.png | Bin 0 -> 784943 bytes .../watermarked/watermarked6 - overmasked.jpg | Bin 62543 -> 0 bytes 3 files changed, 2 insertions(+) create mode 100644 awesome_outputs.png delete mode 100644 data/watermark-unavailable/watermarked/watermarked6 - overmasked.jpg diff --git a/README.md b/README.md index 7738215..04d1a77 100644 --- a/README.md +++ b/README.md @@ -1,5 +1,7 @@ # Watermark Removal using Deep Image Priors with Pytorch + + ## __This is the implementation of paper [Deep Image Prior](https://dmitryulyanov.github.io/deep_image_prior), all credit goes its authors.__ CNNs are very common for image generation and restoration tasks. And it is believed that their great performance is because of their ability to learn realistic image priors from training on large datasets. This paper shows that the structure of a generator alone is sufficient to provide enough low-level image statistics without any learning. 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