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@@ -30,7 +30,7 @@ Transferring the style of various artworks to the same content image produces qu <img src="examples/lions/styles/basquiat_crop.jpg" width="192"/> </p> -Here we reproduce Figure 3 from the first paper, which renders a photograph of the Neckar river in Tübingen, Germany in the style of 5 different iconic paintings [The Shipwreck of the Minotaur](http://www.artble.com/artists/joseph_mallord_william_turner/paintings/the_shipwreck_of_the_minotaur), [The Starry Night](https://www.wikiart.org/en/vincent-van-gogh/the-starry-night-1889), [Composition VII](https://www.wikiart.org/en/wassily-kandinsky/composition-vii-1913), [The Scream](https://www.wikiart.org/en/edvard-munch/the-scream-1893), [Seated Nude](http://www.pablopicasso.org/seated-nude.jsp): +Here we reproduce Figure 3 from the first paper, which renders a photograph of the Neckarfront in Tübingen, Germany in the style of 5 different iconic paintings [The Shipwreck of the Minotaur](http://www.artble.com/artists/joseph_mallord_william_turner/paintings/the_shipwreck_of_the_minotaur), [The Starry Night](https://www.wikiart.org/en/vincent-van-gogh/the-starry-night-1889), [Composition VII](https://www.wikiart.org/en/wassily-kandinsky/composition-vii-1913), [The Scream](https://www.wikiart.org/en/edvard-munch/the-scream-1893), [Seated Nude](http://www.pablopicasso.org/seated-nude.jsp): <p align="center"> <img src="examples/gatys_figure/tubingen.png" height="192px"> <img src="examples/gatys_figure/tubingen_shipwreck.png" height="192px"> @@ -153,9 +153,13 @@ Animations can be rendered by applying the algorithm to each source frame. For <p align="center"> <img src="examples/video/input.gif"> - +<img src="examples/video/opt_flow.gif"> +<br> +<img src="examples/video/weights.gif"> <img src="examples/video/output.gif"> -</p> +</p> +*Top row (left to right)*: source frames, ground-truth optical flow visualized +*Bottom row (left to right)*: disoccluded regions and motion boundaries, stylized frames ### Gradient Descent Initialization 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. White noise allows an arbitrary number of distinct images to be generated. Whereas, initializing with a fixed image always converges to the same output. |