Artio (Stable Diffusion Based Video Generator
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
UMT.Lahore
Abstract
This work proposes iterative refinement and checkpoint merging for stable video generation. In addition,
different diffusion models are used to remove artifacts and enhance video resolution. Early video generation
systems (pre-2010s) emphasized joint processing owing to the deficiency of the quality of videos for analysis.
Stable diffusion came as a breakthrough for image generation. However, extending the approach to videos is not
straightforward. Videos should not only be generated but also appear realistic and temporally coherent. That is,
the generated frames should be perceptually consistent and should constitute a logical sequence. Furthermore,
we’re using real-world images to show how effective our model could work on real-time images