Knowledge Commons of Institute of Automation,CAS
Dual Frequency Transformer for Efficient SDR-to-HDR Translation | |
Gang Xu; Qibin Hou; Ming-Ming Cheng | |
发表期刊 | Machine Intelligence Research
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ISSN | 2731-538X |
2024 | |
卷号 | 21期号:3页码:538-548 |
摘要 | The SDR-to-HDR translation technique can convert the abundant standard-dynamic-range (SDR) media resources to high-dynamic-range (HDR) ones, which can represent high-contrast scenes, providing more realistic visual experiences. While recent vision Transformers have achieved promising performance in many low-level vision tasks, there are few works attempting to leverage Transformers for SDR-to-HDR translation. In this paper, we are among the first to investigate the performance of Transformers for SDR-to-HDR translation. We find that directly using the self-attention mechanism may involve artifacts in the results due to the inappropriate way to model long-range dependencies between the low-frequency and high-frequency components. Taking this into account, we advance the self-attention mechanism and present a dual frequency attention (DFA), which leverages the self-attention mechanism to separately encode the low-frequency structural information and high-frequency detail information. Based on the proposed DFA, we further design a multi-scale feature fusion network, named dual frequency Transformer (DFT), for efficient SDR-to-HDR translation. Extensive experiments on the HDRTV1K dataset demonstrate that our DFT can achieve better quantitative and qualitative performance than the recent state-of-the-art methods. The code of our DFT is made publicly available at https://github.com/CS-GangXu/DFT. |
关键词 | Standard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model |
DOI | 10.1007/s11633-023-1418-8 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/56481 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | Tianjin Media Computing Center, College of Computer Science, Nankai University, Tianjin 300000, China |
推荐引用方式 GB/T 7714 | Gang Xu,Qibin Hou,Ming-Ming Cheng. Dual Frequency Transformer for Efficient SDR-to-HDR Translation[J]. Machine Intelligence Research,2024,21(3):538-548. |
APA | Gang Xu,Qibin Hou,&Ming-Ming Cheng.(2024).Dual Frequency Transformer for Efficient SDR-to-HDR Translation.Machine Intelligence Research,21(3),538-548. |
MLA | Gang Xu,et al."Dual Frequency Transformer for Efficient SDR-to-HDR Translation".Machine Intelligence Research 21.3(2024):538-548. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
MIR-2022-10-308.pdf(2981KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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