Alternatively, you can type text in the Text Inspector, or drag or import a text file into the Motion workspace.

After selecting the Text tool in the toolbar, click once in the Canvas and begin typing at the insertion point.

Experimental results on three typical benchmarks show that the proposed method achieves superior performance on all evaluation metrics over the state-of-the-art methods, even when our models are trained with only one-tenth of the data other methods use. In Motion, you create text in the Canvas using the Text tool. Choose one modifier key Command, Control, Option, or Shift plus one other key of your choice. Check the option Speak selected text when the key is pressed. Inspired by the observation that audiences have different visual preferences on foreground and background objects, we for the first time propose to use saliency masks in the evaluation processes of the task of video frame interpolation. To start, open the System Preferences panel under the Apple icon and click on Dictation and Speech. First, interpolated frames are synthesized by structure-based and motion-based learning branches respectively, then, an iterative refinement module is established via spatial and temporal feature integration. The framework is an end-to-end learnable structure with two stages. Just drag and drop to assemble impressive animations, with a choice of more than 200 filters and effects built into Motion. Based on these observations, we propose a structure-motion based iterative fusion method. Import a text file or type the credits directly into a Motion project, then use the Scroll behavior to automatically animate the speed of the credits based on your project length.

On the contrary, kernel-based methods focus on structural alignment, which relies on semantic and apparent features, but tends to blur results. In existing works, optical flow based methods can provide accurate point-to-point motion description, however, they lack constraints on object structure. Two approaches for solving this challenging task are optical flow based and kernel-based methods. Video Frame Interpolation synthesizes non-existent images between adjacent frames, with the aim of providing a smooth and consistent visual experience.

Type text to speech apple motion