Infrared and Laser Engineering, Volume. 54, Issue 8, 20250217(2025)

Mural restoration via joint gated attention and residual dense transformer

Zhongmin LIU1、*, Yang LIU1, and Wenjin HU2
Author Affiliations
  • 1College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
  • 2College of Mathematic and Computer Science, Northwest Minzu University, Lanzhou 730030, China
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    Figures & Tables(11)
    The overall network framework
    LAG structure framework
    FLAM structure framework
    RDTB network structure framework
    CETL network structure framework
    Comparison chart of the restoration results of each algorithm under different mask rates
    Comparison chart of ablation experiment results
    Comparison chart of universal experimental results
    Comparison chart of actual damage repair experiment results
    • Table 1. Quantitative comparison of various repair algorithms under different mask rates

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      Table 1. Quantitative comparison of various repair algorithms under different mask rates

      Mask rate/Contrast algorithmEvaluation indicators
      PSNR↑SSIM↑L1↓LPIPS↓FID↓
      1%-10%MISF29.93810.86960.02040.048228.7383
      HINT30.69070.92190.01790.041524.0503
      PUT30.73280.93140.01370.031214.9842
      CTSDG31.13780.93300.00930.028616.2483
      MFCL32.25500.94330.00560.026623.2643
      ECDB31.28530.94410.00400.024115.7288
      Ours32.34210.94810.00350.020313.8803
      10%-20%MISF26.80040.78260.01810.065830.5281
      HINT26.49440.79510.02070.067229.3446
      PUT26.37820.78370.02340.070819.1685
      CTSDG27.86270.81070.01550.061222.0202
      MFCL28.00960.88950.01080.059033.8647
      ECDB27.94460.88610.01290.060223.6354
      Ours28.15960.89840.00830.050817.3776
      20%-30%MISF24.11630.80450.02380.109438.6127
      HINT23.88550.71450.03040.133432.8419
      PUT23.69410.69450.03210.139125.9616
      CTSDG23.94440.80050.02870.126133.2993
      MFCL25.00150.73280.01650.119743.8647
      ECDB24.34460.81100.02120.105429.6425
      Ours24.34800.82030.01970.102624.4002
      30%-40%MISF21.67120.71960.03540.189543.9497
      HINT21.03160.69180.03700.156040.7219
      PUT20.19210.67380.03850.205731.7097
      CTSDG21.42470.70320.03180.199337.5934
      MFCL23.56510.73360.03020.185447.1149
      ECDB21.77030.73650.03100.163038.4061
      Ours22.08090.74040.02830.157127.7772
      Powder maskMISF29.95480.87040.01980.047626.7936
      HINT30.18320.87210.01850.043923.3275
      PUT30.89210.88370.01570.039215.6400
      CTSDG31.24470.89830.01320.034818.9128
      MFCL31.82950.91020.01090.031524.4925
      ECDB32.23140.91740.00760.027919.2198
      Ours32.41270.92100.00510.025315.2780
    • Table 2. Comparison of quantitative results of module ablation experiments

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      Table 2. Comparison of quantitative results of module ablation experiments

      LAGRDTBPSNR↑SSIM↑L1↓LPIPS↓FID↓MAC↓Parameter↓Time/epoch·s−1Time(per image)↓
      ××27.94460.88610.01290.060223.6354152 G279 M3785.22 s
      ×27.99850.88770.01060.052420.0358133 G215 M3533.74 s
      ×28.13830.89800.00750.051819.2871130 G207 M3473.61 s
      28.15960.89840.00830.050817.3776122 G202 M3163.43 s
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    Zhongmin LIU, Yang LIU, Wenjin HU. Mural restoration via joint gated attention and residual dense transformer[J]. Infrared and Laser Engineering, 2025, 54(8): 20250217

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    Paper Information

    Category: Optical imaging, display and information processing

    Received: Mar. 24, 2025

    Accepted: --

    Published Online: Aug. 29, 2025

    The Author Email: Zhongmin LIU (liuzhmx@163.com)

    DOI:10.3788/IRLA20250217

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