From d67c88f744f09507719ba974173255969c36b04e Mon Sep 17 00:00:00 2001 From: Eric Zelikman Date: Thu, 10 Dec 2020 12:46:18 -0500 Subject: [PATCH] moved images to github --- C3W3_MUNIT_(Optional).ipynb | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/C3W3_MUNIT_(Optional).ipynb b/C3W3_MUNIT_(Optional).ipynb index aa4686d..a7557e2 100644 --- a/C3W3_MUNIT_(Optional).ipynb +++ b/C3W3_MUNIT_(Optional).ipynb @@ -94,7 +94,7 @@ "\n", "Don't worry if this is still unclear now! You'll go over this in more detail later in the notebook.\n", "\n", - "![Same- and cross-domain interaction of encoders and decoders](https://drive.google.com/uc?id=1gi5rHPiBdYtkLLok8ImSefnvUloScxm4)\n", + "![Same- and cross-domain interaction of encoders and decoders](https://github.com/https-deeplearning-ai/GANs-Public/blob/master/MUNIT-Domains.png?raw=true)\n", "\n", "*Model overview, taken from Figure 2 of [Multimodal Unsupervised Image-to-Image Translation](https://arxiv.org/abs/1804.04732) (Huang et al. 2018). The red and blue arrows denote encoders-decoder pairs within the same domain. Left: same domain image reconstruction. Right: cross-domain latent (content and style) vector reconstruction.*" ] @@ -384,7 +384,7 @@ "\n", "Now that you're all set up and implemented some basic building blocks, let's take a look at the content encoder, style encoder, and decoder! These will be used in the generator.\n", "\n", - "![Same- and cross-domain interaction of encoders and decoders](https://drive.google.com/uc?id=15y07M9dgnk8_HtatlDfEpN5mM-BFBnMG)\n", + "![Same- and cross-domain interaction of encoders and decoders](https://github.com/https-deeplearning-ai/GANs-Public/blob/master/MUNIT-Generator.png?raw=true)\n", "\n", "*Generator architecture, taken from Figure 3 of [Multimodal Unsupervised Image-to-Image Translation](https://arxiv.org/abs/1804.04732) (Huang et al. 2018). Content encoder: generates a downsampled representation of the original. Style encoder: generates a style code from the original. Decoder: synthesizes a fake image from content code, infused with style info.*\n", "\n", @@ -1060,11 +1060,11 @@ "cell_type": "code", "metadata": { "id": "-9d8AneYxuuT", - "outputId": "dd07c208-3565-4aa7-b5ef-d526885fd3f5", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 - } + }, + "outputId": "dd07c208-3565-4aa7-b5ef-d526885fd3f5" }, "source": [ "# Parse torch version for autocast\n",