App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 10

Rich text-guided video generation via spectral awareness and dynamic motion enhancement

Wang Shuang
Zhang Zhengdao
Peng Li
School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
DOI: 10.19734/j.issn.1001-3695.2026.02.0052

Abstract

To address the imbalance between fine-grained regional control, temporal stability, and dynamic expressiveness in text-to-video generation, this paper proposed RTVid-SA, a rich text-guided video generation method based on spectral awareness and dynamic motion enhancement. The approach first constructed a base framework for rich text-guided region-controllable generation, utilizing temporal region mapping and spatio-temporal region-guided denoising to achieve fine-grained regional injection of attributes such as color and style. RTVid-SA designed three core modules to tackle the spatio-temporal coupling challenges where regional constraints often suppress motion priors and cause structural decay. Spectral-Aware Temporal Noise Initialization (STNI) locked low-frequency structures through frequency-domain amplitude matching to suppress structural instability in long sequences. Frequency-Aware Motion Enhancement (FAME) utilized frequency-domain decoupling to selectively enhance high-frequency motion components in temporal attention, thereby activating motion priors suppressed by regional constraints. Finally, Sparse-Temporal Adaptive Instance Normalization (ST-AdaIN) balanced style consistency and motion freedom through feature alignment at critical temporal nodes. Experimental results demonstrate that RTVid-SA operates in a training-free manner and effectively improves the temporal stability and dynamic expressiveness of generated videos while maintaining precise fine-grained control.

Foundation Support

国家自然科学基金资助项目(61873112)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.02.0052
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 10

Publish History

[2026-07-29] Accepted Paper

Cite This Article

王爽, 张正道, 彭力. 基于频谱感知与动态运动增强的富文本引导视频生成方法 [J]. 计算机应用研究, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0052. (Wang Shuang, Zhang Zhengdao, Peng Li. Rich text-guided video generation via spectral awareness and dynamic motion enhancement [J]. Application Research of Computers, 2026, 43 (10). (2026-07-30). https://doi.org/10.19734/j.issn.1001-3695.2026.02.0052. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)