Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Fuente: arXiv
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Main Authors: Bao, Fan, Xiang, Chendong, Yue, Gang, He, Guande, Zhu, Hongzhou, Zheng, Kaiwen, Zhao, Min, Liu, Shilong, Wang, Yaole, Zhu, Jun
Format: Preprint
Published: 2024
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author Bao, Fan
Xiang, Chendong
Yue, Gang
He, Guande
Zhu, Hongzhou
Zheng, Kaiwen
Zhao, Min
Liu, Shilong
Wang, Yaole
Zhu, Jun
author_facet Bao, Fan
Xiang, Chendong
Yue, Gang
He, Guande
Zhu, Hongzhou
Zheng, Kaiwen
Zhao, Min
Liu, Shilong
Wang, Yaole
Zhu, Jun
contents We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation. Vidu is a diffusion model with U-ViT as its backbone, which unlocks the scalability and the capability for handling long videos. Vidu exhibits strong coherence and dynamism, and is capable of generating both realistic and imaginative videos, as well as understanding some professional photography techniques, on par with Sora -- the most powerful reported text-to-video generator. Finally, we perform initial experiments on other controllable video generation, including canny-to-video generation, video prediction and subject-driven generation, which demonstrate promising results.
format Preprint
id arxiv_https___arxiv_org_abs_2405_04233
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
Bao, Fan
Xiang, Chendong
Yue, Gang
He, Guande
Zhu, Hongzhou
Zheng, Kaiwen
Zhao, Min
Liu, Shilong
Wang, Yaole
Zhu, Jun
Computer Vision and Pattern Recognition
Machine Learning
We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation. Vidu is a diffusion model with U-ViT as its backbone, which unlocks the scalability and the capability for handling long videos. Vidu exhibits strong coherence and dynamism, and is capable of generating both realistic and imaginative videos, as well as understanding some professional photography techniques, on par with Sora -- the most powerful reported text-to-video generator. Finally, we perform initial experiments on other controllable video generation, including canny-to-video generation, video prediction and subject-driven generation, which demonstrate promising results.
title Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
topic Computer Vision and Pattern Recognition
Machine Learning
url https://arxiv.org/abs/2405.04233