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moved images to github

This commit is contained in:
Eric Zelikman 2020-12-10 12:46:18 -05:00
parent 35e4c84e52
commit d67c88f744
1 changed files with 4 additions and 4 deletions
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8
C3W3_MUNIT_(Optional).ipynb
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@ -94,7 +94,7 @@
"\n", "\n",
"Don't worry if this is still unclear now! You'll go over this in more detail later in the notebook.\n", "Don't worry if this is still unclear now! You'll go over this in more detail later in the notebook.\n",
"\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", "\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.*" "*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", "\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", "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", "\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", "\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", "*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", "\n",
@ -1060,11 +1060,11 @@
"cell_type": "code", "cell_type": "code",
"metadata": { "metadata": {
"id": "-9d8AneYxuuT", "id": "-9d8AneYxuuT",
"outputId": "dd07c208-3565-4aa7-b5ef-d526885fd3f5",
"colab": { "colab": {
"base_uri": "https://localhost:8080/", "base_uri": "https://localhost:8080/",
"height": 1000 "height": 1000
} },
"outputId": "dd07c208-3565-4aa7-b5ef-d526885fd3f5"
}, },
"source": [ "source": [
"# Parse torch version for autocast\n", "# Parse torch version for autocast\n",