CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
Dual Frequency Transformer for Efficient SDR-to-HDR Translation
Gang Xu; Qibin Hou; Ming-Ming Cheng
Source PublicationMachine Intelligence Research
ISSN2731-538X
2024
Volume21Issue:3Pages:538-548
AbstractThe 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.
KeywordStandard-dynamic-range to high-dynamic-range (SDR-to-HDR) translation, Transformer, dual frequency attention (DFA), frequency-aware feature decomposition, efficient model
DOI10.1007/s11633-023-1418-8
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56481
Collection学术期刊_Machine Intelligence Research
AffiliationTianjin Media Computing Center, College of Computer Science, Nankai University, Tianjin 300000, China
Recommended Citation
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.
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