English

MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text

Computer Vision and Pattern Recognition 2023-08-01 v1

Abstract

Videos for mobile devices become the most popular access to share and acquire information recently. For the convenience of users' creation, in this paper, we present a system, namely MobileVidFactory, to automatically generate vertical mobile videos where users only need to give simple texts mainly. Our system consists of two parts: basic and customized generation. In the basic generation, we take advantage of the pretrained image diffusion model, and adapt it to a high-quality open-domain vertical video generator for mobile devices. As for the audio, by retrieving from our big database, our system matches a suitable background sound for the video. Additionally to produce customized content, our system allows users to add specified screen texts to the video for enriching visual expression, and specify texts for automatic reading with optional voices as they like.

Keywords

Cite

@article{arxiv.2307.16371,
  title  = {MobileVidFactory: Automatic Diffusion-Based Social Media Video Generation for Mobile Devices from Text},
  author = {Junchen Zhu and Huan Yang and Wenjing Wang and Huiguo He and Zixi Tuo and Yongsheng Yu and Wen-Huang Cheng and Lianli Gao and Jingkuan Song and Jianlong Fu and Jiebo Luo},
  journal= {arXiv preprint arXiv:2307.16371},
  year   = {2023}
}

Comments

Accepted by ACM-MM 2023 demo

R2 v1 2026-06-28T11:44:00.833Z