From 5be358d54b8f2ee16294d4e90121ae0d502031eb Mon Sep 17 00:00:00 2001 From: Cameron Date: Tue, 25 Oct 2016 19:34:30 -0600 Subject: Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index d78a548..ef15203 100644 --- a/README.md +++ b/README.md @@ -160,7 +160,7 @@ Animations can be rendered by applying the algorithm to each source frame. For

### Gradient Descent Initialization -The initialization of the gradient descent is controlled using `--init_img_type` for single images and `--init_frame_type` or `--init_first_frame_type` for video frames. For single images, the gradient descent can be initialized with white noise, the content image, or the style image. For video frames, the gradient descent can also be initialized with the previous stylized frame or the previous stylized frame warped to the current frame. White noise allows an arbitrary number of distinct images to be generated. Whereas, initializing with a fixed image always converges to the same output. +The initialization of the gradient descent is controlled using `--init_img_type` for single images and `--init_frame_type` or `--first_frame_type` for video frames. For single images, the gradient descent can be initialized with white noise, the content image, or the style image. For video frames, the gradient descent can also be initialized with the previous stylized frame or the previous stylized frame warped to the current frame. White noise allows an arbitrary number of distinct images to be generated. Whereas, initializing with a fixed image always converges to the same output. Here we reproduce Figure 6 from the first paper:

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