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  2. 2D to 3D conversion - Wikipedia

    en.wikipedia.org/wiki/2D_to_3D_conversion

    2D to 3D video conversion (also called 2D to stereo 3D conversion and stereo conversion) is the process of transforming 2D ("flat") film to 3D form, which in almost all cases is stereo, so it is the process of creating imagery for each eye from one 2D image.

  3. Comparison of video converters - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_converters

    Video converters are computer programs that can change the storage format of digital video. They may recompress the video to another format in a process called transcoding , or may simply change the container format without changing the video format.

  4. List of video editing software - Wikipedia

    en.wikipedia.org/wiki/List_of_video_editing_software

    The following is a list of video editing software. The criterion for inclusion in this list is the ability to perform non-linear video editing. Most modern transcoding software supports transcoding a portion of a video clip, which would count as cropping and trimming. However, items in this article have one of the following conditions:

  5. Photo Story - Wikipedia

    en.wikipedia.org/wiki/Photo_Story

    Microsoft Photo Story is a free application that allows users to create a visual story (show and tell presentation) from their digital photos. [1] The software uses the Ken Burns Effect on digital photos and allows adding narration, effects, transitions and background music to create a Windows Media Video movie file with pan and zoom effects.

  6. Any Video Converter - Wikipedia

    en.wikipedia.org/wiki/Any_Video_Converter

    Any Video Converter is a video converter developed by Anvsoft Inc. for Microsoft Windows and macOS. [3] It is available in both a free and paid version. Any Video Converter Windows version won the CNET Downloads 5 star award in 2012.

  7. Text-to-video model - Wikipedia

    en.wikipedia.org/wiki/Text-to-video_model

    There are several architectures that have been used to create Text-to-Video models. Similar to Text-to-Image models, these models can be trained using Recurrent Neural Networks (RNNs) such as long short-term memory (LSTM) networks, which has been used for Pixel Transformation Models and Stochastic Video Generation Models, which aid in consistency and realism respectively. [31]

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