We present the ”Cartoon Animation Filter”, a simple filter that takes an arbitrary input motion signal and modulates it in such a way that the output motion is more ”alive” or ”animated”.

Our SISO filter concentrates the motion of a given animated se-quence around important (key) frames for a stylized effect.

Our method, which we call Eulerian Video Magnification, takes a standard video sequence as input, and ap-plies spatial decomposition, followed by temporal filtering to the frames. The …

Figure 1: Comparison of results exaggerated by the cartoon animation filter (1st row) with results enhanced by our methods (2nd row) from various sets of motion capture data.

Convolutional neural networks (on grids) Single Single Convolutional CNN layer with neural 3x3 filter: network (CNN) layer with 3x3 filter: (Animation by Dumoulin) Image

In this paper, a method that generates checkered pattern animation from grayscale ani-mation with inhibited flickering is proposed (hereinafter, “proposed checkered pattern animation”).

The ForEveryTile handler gets along well with the ForEveryPixeland RGBA handlers,too.It can be used as an animation controller which makes a loop and calls the filter in the ForEveryPixel or …