title: MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
summary: The growing demand for high-fidelity video generation from textual
  descriptions has catalyzed significant research in this field. In this work, we
  introduce MagicVideo-V2 that integrates the text-to-image model, video motion
  generator, reference image embedding module and frame interpolation module into
  an end-to-end video generation pipeline. Benefiting from these architecture
  designs, MagicVideo-V2 can generate an aesthetically pleasing, high-resolution
  video with remarkable fidelity and smoothness. It demonstrates superior
  performance over leading Text-to-Video systems such as Runway, Pika 1.0, Morph,
  Moon Valley and Stable Video Diffusion model via user evaluation at large
  scale.
paper_authors._id: 659e050918ea5479fbf15fc1
paper_authors.name: Weimin Wang
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paper_authors.fullname: weimin wang 
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paper_authors.name: Jiawei Liu
paper_authors._id: 659e050918ea5479fbf15fc3
paper_authors.name: Zhijie Lin
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paper_authors.fullname: Zhijie Lin
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paper_authors.user: Ikuinen
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paper_authors.name: Jiangqiao Yan
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paper_authors.fullname: Yan Jiangqiao
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paper_authors.user: Jiangqiao
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paper_authors.name: Shuo Chen
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paper_authors.name: Chetwin Low
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paper_authors.fullname: Chetwin Low
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paper_authors.name: Tuyen Hoang
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paper_authors.name: Jie Wu
paper_authors._id: 659e050918ea5479fbf15fc9
paper_authors.name: Jun Hao Liew
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paper_authors.fullname: Jun Hao Liew
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paper_authors.user: junhao910323
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paper_authors.name: Hanshu Yan
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paper_authors.fullname: PeRFlow
paper_authors.type: user
paper_authors.user: hansyan
paper_authors._id: 659e050918ea5479fbf15fcb
paper_authors.name: Daquan Zhou
paper_authors.status: admin_assigned
paper_authors.statusLastChangedAt: 2024-01-10T08:49:35.998Z
paper_authors._id: 63fe0b160c1bbe8e29d2dd32
paper_authors.avatarUrl: /avatars/bc574036287170a77057893efaa48e2d.svg
paper_authors.fullname: Zhou
paper_authors.type: user
paper_authors.user: DaQuan21
paper_authors._id: 659e050918ea5479fbf15fcc
paper_authors.name: Jiashi Feng
paper_title: MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
paper_summary: The growing demand for high-fidelity video generation from textual
  descriptions has catalyzed significant research in this field. In this work, we
  introduce MagicVideo-V2 that integrates the text-to-image model, video motion
  generator, reference image embedding module and frame interpolation module into
  an end-to-end video generation pipeline. Benefiting from these architecture
  designs, MagicVideo-V2 can generate an aesthetically pleasing, high-resolution
  video with remarkable fidelity and smoothness. It demonstrates superior
  performance over leading Text-to-Video systems such as Runway, Pika 1.0, Morph,
  Moon Valley and Stable Video Diffusion model via user evaluation at large
  scale.
paper_ai_keywords: text-to-image model video motion generator reference image embedding module frame interpolation module end-to-end video generation pipeline high-resolution video remarkable fidelity smoothness user evaluation Runway Pika 1.0 Morph Moon Valley Stable Video Diffusion model