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@@ -2,14 +2,15 @@
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Image [<img src="https://colab.research.google.com/assets/colab-badge.svg" align="center">](https://colab.research.google.com/github/jantic/DeOldify/blob/master/ImageColorizerColab.ipynb) | Video [<img src="https://colab.research.google.com/assets/colab-badge.svg" align="center">](https://colab.research.google.com/github/jantic/DeOldify/blob/master/VideoColorizerColab.ipynb)
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-[Get more updates on Twitter <img src="result_images/Twitter_Social_Icon_Rounded_Square_Color.svg" width="16">](https://twitter.com/citnaj)
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+[Get more updates on Twitter <img src="resource_images/Twitter_Social_Icon_Rounded_Square_Color.svg" width="16">](https://twitter.com/citnaj)
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------------------------
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### New and Exciting Stuff in DeOldify
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* Glitches and artifacts are almost entirely eliminated
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* Better skin (less zombies)
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* More highly detailed and photorealistic renders
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-* **Video** - it actually looks good!
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+* Much less "blue bias"
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+* **Video** - it actually looks good!
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* **NoGAN** - a new and weird but highly effective way to do GAN training for image to image.
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Simply put, the mission of this project is to colorize and restore old images and film footage. I'll get into the details in a bit, but first let's see some pretty pictures and videos!
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@@ -247,4 +248,4 @@ The colorization inference notebooks should be able to guide you from here. The
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### Want More?
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-I'll be posting more results on Twitter. [<img src="result_images/Twitter_Social_Icon_Rounded_Square_Color.svg" width="28">](https://twitter.com/citnaj)
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+I'll be posting more results on Twitter. [<img src="resource_images/Twitter_Social_Icon_Rounded_Square_Color.svg" width="28">](https://twitter.com/citnaj)
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Jason Antic