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Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer

文献类型：期刊论文

作者Huang, Nisha1,2; Zhang, Yuxin1,2; Dong, Weiming1,2
刊名IEEE SIGNAL PROCESSING LETTERS
出版日期2024
卷号31页码:1494-1498
关键词Noise Task analysis Training Noise reduction Shape Semantics Optimization Style transfer video processing
ISSN号1070-9908
DOI10.1109/LSP.2024.3398538
通讯作者Dong, Weiming(weiming.dong@ia.ac.cn)
英文摘要Large-scale text-to-video diffusion models have shown outstanding capabilities. However, their direct application to video stylization is hindered by the limited availability of text-to-video datasets and computational resources. Moreover, meeting content preservation standards for style transfer tasks is challenging due to the stochastic and destructive nature of the noise addition process. This letter introduces a succinct video stylization approach, named Style-A-Video, which leverages a generative pre-trained transformer and an image latent diffusion model for text-controlled video stylization. We improve the guidance conditions in the denoising process to maintain a balance between artistic expression and structural preservation. Additionally, by integrating sampling optimization and temporal consistency modules, we address inter-frame flickering and prevent additional artifacts. Comprehensive experimental results demonstrate superior content preservation and stylistic performance while minimizing resource consumption.
资助项目Beijing Natural Science Foundation[L221013] ; National Natural Science Foundation of China[U20B2070]
WOS研究方向Engineering
语种英语
WOS记录号WOS:001240496000001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Beijing Natural Science Foundation ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/59079]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
通讯作者Dong, Weiming
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Automat, MAIS, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Huang, Nisha,Zhang, Yuxin,Dong, Weiming. Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer[J]. IEEE SIGNAL PROCESSING LETTERS,2024,31:1494-1498.
APA Huang, Nisha,Zhang, Yuxin,&Dong, Weiming.(2024).Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer.IEEE SIGNAL PROCESSING LETTERS,31,1494-1498.
MLA Huang, Nisha,et al."Style-A-Video: Agile Diffusion for Arbitrary Text-Based Video Style Transfer".IEEE SIGNAL PROCESSING LETTERS 31(2024):1494-1498.

入库方式： OAI收割

来源：自动化研究所

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