MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation
Wang, Weimin, Liu, Jiawei, Lin, Zhijie, Yan, Jiangqiao, Chen, Shuo, Low, Chetwin, Hoang, Tuyen, Wu, Jie, Liew, Jun Hao, Yan, Hanshu, Zhou, Daquan, Feng, Jiashi
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Jan-9-2024