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CLIP has been used in various domains beyond its original purpose: Image Featurizer: CLIP's image encoder can be adapted as a pre-trained image featurizer. This can then be fed into other AI models. [1] Text-to-Image Generation: Models like Stable Diffusion use CLIP's text encoder to transform text prompts into embeddings for image generation. [3]
Sora is a text-to-video model developed by OpenAI. The model generates short video clips based on user prompts, and can also extend existing short videos. Sora was released publicly for ChatGPT Plus and ChatGPT Pro users in December 2024. [1] [2]
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
The more general term computer-generated imagery (CGI) encompasses both still images and moving images, while computer animation only refers to moving images. Modern computer animation usually uses 3D computer graphics. Computer animation is a digital successor to stop motion and traditional animation. Instead of a physical model or ...
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.
LightWave is a software package used for rendering 3D images, both animated and static.It includes a fast rendering engine that supports such advanced features as realistic reflection, radiosity, caustics, and 999 render nodes.
Computer-generated imagery (CGI) is a specific-technology or application of computer graphics for creating or improving images in art, printed media, simulators, videos and video games. These images are either static (i.e. still images) or dynamic (i.e. moving images).
After the all content and relevant images have been added, and the changes are published, it is time to preview the first cut of the video. Git, "Preview my changes" (refer to Fig #4) to see preview of the video on the Videowiki tool. You can make changes, and refresh the VideoWiki preview as often as necessary.