mlsanityData to 7 Oct 2026

Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network

arXiv 2204.09213 ↗First posted 20 Apr 2022cs.CV cs.LG eess.IVcited by 5

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Abstract (arXiv)

HDR is an important part of computational photography technology. In this paper, we propose a lightweight neural network called Efficient Attention-and-alignment-guided Progressive Network (EAPNet) for the challenge NTIRE 2022 HDR Track 1 and Track 2. We introduce a multi-dimensional lightweight encoding module to extract features. Besides, we propose Progressive Dilated U-shape Block (PDUB) that can be a progressive plug-and-play module for dynamically tuning MAccs and PSNR. Finally, we use fast and low-power feature-align module to deal with misalignment problem in place of the time-consuming Deformable Convolutional Network (DCN). The experiments show that our method achieves about 20 times compression on MAccs with better mu-PSNR and PSNR compared to the state-of-the-art method. We got the second place of both two tracks during the testing phase. Figure1. shows the visualized result of NTIRE 2022 HDR challenge.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 27 of its 35 references that are in the map. First posted on arXiv 20 Apr 2022.

Builds on

27 of 35 references.

References · 27

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15 more
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  15. 2021Feature-Align Network with Knowledge Distillation for Efficient Denoisingcited by 2

Built on by

Cited by year

Citing papers per year: 2022: 1; 2023: 2; 2024: 2.

5 papers.

  1. 2024PromptCIR: Blind Compressed Image Restoration with Prompt Learningcited by 20
  2. 2022NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Resultscited by 10
  3. 2023CEN-HDR: Computationally Efficient neural Network for real-time High Dynamic Range imagingcited by 3
  4. 2023High Dynamic Range Imaging via Visual Attention Modulescited by 0
  5. 2024Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Modecited by 0