东华大学学报（英文版）2026，Vol.43Issue(2)：94-102,9.DOI:10.19884/j.1672-5220.202501012
ColorAlignNet:基于参考帧的时间聚合视频着色网络
ColorAlignNet:a Reference-Based Video Colorization Network with Temporal Aggregation
朱文志 1王彤1
作者信息
- 1. 东华大学 信息科学与技术学院,上海 201620||东华大学 数字化纺织服装技术教育部工程研究中心,上海 201620
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摘要
Abstract
Video colorization is an important technique to breathe life back into old movies.While current colorization methods work well on still images and low-motion video data,they often struggle with complex dynamic scenes.To address this problem,this study proposes ColorAlignNet,a reference-based video colorization network with temporal aggregation.The network uses source-reference attention to propagate color information from reference frames to grayscale frames,guaranteeing color accuracy,and uses deformable convolution to align features of adjacent frames to enhance temporal consistency.Finally,we use the cyclic transformer module to reconstruct the final prediction results.Extensive experimental results demonstrate that ColorAlignNet achieves excellent performance on the DAVIS and Videvo datasets,outperforming other state-of-the-art methods on both the learned perceptual image patch similarity(LPIPS)and color distribution consistency(CDC)metrics.关键词
可变形卷积/视频着色/Swin-transformerKey words
deformable convolution/video colorization/Swin-transformer分类
信息技术与安全科学引用本文复制引用
朱文志,王彤..ColorAlignNet:基于参考帧的时间聚合视频着色网络[J].东华大学学报（英文版）,2026,43(2):94-102,9.
