MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
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.
659e050918ea5479fbf15fc1
Weimin Wang
claimed_verified
2024-01-11T08:12:59.343Z
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weimin wang 
user
weiminwang
659e050918ea5479fbf15fc2
Jiawei Liu
claimed_verified
2025-06-12T12:47:50.170Z
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Jiawei Liu
user
jwliu-cc
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Zhijie Lin
admin_assigned
2024-01-10T08:47:28.063Z
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Zhijie Lin
user
Ikuinen
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Jiangqiao Yan
admin_assigned
2024-01-10T08:47:37.928Z
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Yan Jiangqiao
user
Jiangqiao
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Shuo Chen
659e050918ea5479fbf15fc6
Chetwin Low
admin_assigned
2024-01-10T08:48:26.606Z
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Chetwin Low
user
ChetwinLow
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Tuyen Hoang
659e050918ea5479fbf15fc8
Jie Wu
659e050918ea5479fbf15fc9
Jun Hao Liew
admin_assigned
2024-01-10T08:49:13.476Z
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Jun Hao Liew
user
junhao910323
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Hanshu Yan
claimed_verified
2024-01-10T08:38:48.442Z
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PeRFlow
user
hansyan
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Daquan Zhou
admin_assigned
2024-01-10T08:49:35.998Z
63fe0b160c1bbe8e29d2dd32
/avatars/bc574036287170a77057893efaa48e2d.svg
Zhou
user
DaQuan21
659e050918ea5479fbf15fcc
Jiashi Feng
MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
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.
MagicVideo-V2 generates high-fidelity and smooth videos from text using an integrated pipeline that includes text-to-image, video motion generation, and frame interpolation modules, outperforming existing systems in user evaluations.
text-to-image video motion generator reference image embedding frame interpolation video generation pipeline user evaluation