MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Authors: name: Weimin Wang, name: Jiawei Liu, name: Zhijie Lin, name: Jiangqiao Yan, name: Shuo Chen, name: Chetwin Low, name: Tuyen Hoang, name: Jie Wu, name: Jun Hao Liew, name: Hanshu Yan, name: Daquan Zhou, name: Jiashi Feng

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.