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FlipaClip allows users to create 2D frame-by-frame animations. [4] [5] Besides the basic drawing features, users can use a customizable rule tool; import images, videos and audio files; create multiple frame layers at various frames per second; [6] [7] and export their work in various file formats.
In 2015, Anime Studio 11 added frame-by-frame animation, layer referencing, animated shape ordering, enhanced tools and brushes, JSON file format support, and other features. In 2016, Anime Studio was rebranded as its original name Moho by Smith Micro Software to reflect the software's ability to create more animated content than anime. [2]
Computer generated animations are more controllable than other more physically based processes, such as constructing miniatures for effects shots or hiring extras for crowd scenes, and because it allows the creation of images that would not be feasible using any other technology. It can also allow a single graphic artist to produce such content ...
Computer animation is essentially a digital successor to stop motion techniques, but using 3D models, and traditional animation techniques using frame-by-frame animation of 2D illustrations. For 2D figure animations, separate objects (illustrations) and separate transparent layers are used with or without that virtual skeleton.
Linear Animation Generator is a form of animation by using static picture frames installed in a tunnel or a shaft. The animation illusion is created by putting the viewer in a linear motion, parallel to the installed picture frames. [130]
Lights have many parameters, including light intensity, beam size, light color, and the texture cast by the light. Supposing that an animator wants the beam size to change smoothly from one value to another within a predefined period of time, that could be achieved by using key frames. At the start of the animation, a beam size value is set.
Onion skin of frame 7 of this image showing previous 3 frames. In 2D computer graphics, onion skinning is a technique used in creating animated cartoons and editing films to view several frames at once. This way, the animator or editor can make decisions on how to create or change an image based on the previous image in the sequence.
Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [ 7 ] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [ 5 ]