I2VGen-XL: High-Quality Image-to-Video Synthesis
via Cascaded Diffusion Models
Video synthesis has recently made remarkable strides benefiting from the rapid development of diffusion models. However, it still encounters challenges in terms of semantic accuracy, clarity and spatio-temporal continuity. They primarily arise from the scarcity of well-aligned text-video data and the complex inherent structure of videos, making it difficult for the model to simultaneously ensure semantic and qualitative excellence. In this report, we propose a cascaded I2VGen-XL approach that enhances model performance by decoupling these two factors and ensures the alignment of the input data by utilizing static images as a form of crucial guidance. I2VGen-XL consists of two stages: i) the base stage guarantees coherent semantics and preserves content from input images by using two hierarchical encoders, and ii) the refinement stage enhances the video's details by incorporating an additional brief text and improves the resolution to 1280x720. To improve the diversity, we collect around 35 million single-shot text-video pairs and 6 billion text-image pairs to optimize the model. By this means, I2VGen-XL can simultaneously enhance the semantic accuracy, continuity of details and clarity of generated videos. Through extensive experiments, we have investigated the underlying principles of I2VGen-XL and compared it with current top methods, which can demonstrate its effectiveness on diverse data. The source code and models will be publicly available here.
A Mech female warrior standing on top of a mountain, 3D cartoon.
A slim girl dancing.
A slim girl dancing.
A slim girl dancing.
A mushroom shaped spaceship, 3D cartoon.
A mushroom shaped spaceship, 3D cartoon.
A giant robot dances in the mall.
A fighter jet in outer space.
Rough seas.
Rough seas.
A fighter jet in outer space.
A fighter jet in outer space.
A cute little dolphin in the deep sea, 3D cartoon.
A cute little dolphin in the deep sea, 3D cartoon.
A female Mech warrior standing on the top of a hill, Chinese painting.
We have the opportunity waiting for you.
If you are seeking an exhilarating challenge and the chance to collaborate with AIGC and large-scale pretraining, then you have come to the right place. We are searching for talented, motivated, and imaginative researchers to join our team. If you are interested, please don't hesitate to send us your resume via email zhangjin.zsw@alibaba-inc.com
References
@article{2023i2vgenxl,
title={I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models},
author={Zhang, Shiwei* and Wang, Jiayu* and Zhang, Yingya* and Zhao, Kang and Yuan, Hangjie and Qing, Zhiwu and Wang, Xiang and Zhao, Deli and Zhou, Jingren},
booktitle={arXiv preprint arXiv:2311.04145},
year={2023}
}
@article{2023videocomposer,
title={VideoComposer: Compositional Video Synthesis with Motion Controllability},
author={Wang, Xiang* and Yuan, Hangjie* and Zhang, Shiwei* and Chen, Dayou* and Wang, Jiuniu, and Zhang, Yingya, and Shen, Yujun, and Zhao, Deli and Zhou, Jingren},
booktitle={arXiv preprint arXiv:2306.02018},
year={2023}
}