title: Open-Sora Plan: Open-Source Large Video Generation Model
summary: We introduce Open-Sora Plan, an open-source project that aims to contribute a
  large generation model for generating desired high-resolution videos with long
  durations based on various user inputs. Our project comprises multiple
  components for the entire video generation process, including a Wavelet-Flow
  Variational Autoencoder, a Joint Image-Video Skiparse Denoiser, and various
  condition controllers. Moreover, many assistant strategies for efficient
  training and inference are designed, and a multi-dimensional data curation
  pipeline is proposed for obtaining desired high-quality data. Benefiting from
  efficient thoughts, our Open-Sora Plan achieves impressive video generation
  results in both qualitative and quantitative evaluations. We hope our careful
  design and practical experience can inspire the video generation research
  community. All our codes and model weights are publicly available at
  https://github.com/PKU-YuanGroup/Open-Sora-Plan.
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paper_authors.name: Xiaoyi Dong
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paper_authors.name: Zhang Pan
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paper_authors.name: Shaoling Dong
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paper_authors.name: Yonghong Tian
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paper_title: Open-Sora Plan: Open-Source Large Video Generation Model
paper_summary: We introduce Open-Sora Plan, an open-source project that aims to contribute a
  large generation model for generating desired high-resolution videos with long
  durations based on various user inputs. Our project comprises multiple
  components for the entire video generation process, including a Wavelet-Flow
  Variational Autoencoder, a Joint Image-Video Skiparse Denoiser, and various
  condition controllers. Moreover, many assistant strategies for efficient
  training and inference are designed, and a multi-dimensional data curation
  pipeline is proposed for obtaining desired high-quality data. Benefiting from
  efficient thoughts, our Open-Sora Plan achieves impressive video generation
  results in both qualitative and quantitative evaluations. We hope our careful
  design and practical experience can inspire the video generation research
  community. All our codes and model weights are publicly available at
  https://github.com/PKU-YuanGroup/Open-Sora-Plan.
paper_ai_summary: Open-Sora Plan is an open-source project that generates high-resolution, long-duration videos from various inputs using a Wavelet-Flow Variational Autoencoder, Joint Image-Video Skiparse Denoiser, and condition controllers.
paper_ai_keywords: Wavelet-Flow Variational Autoencoder Joint Image-Video Skiparse Denoiser condition controllers