Multi-Exposure Image Fusion

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Most implemented papers archive 2025-07-28

17 shown of 17 papers with code (36 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• TransMEF: A Transformer-Based Multi-Exposure Image Fusion Framework using Self-Supervised Multi-Task Learning
  2 Dec 2021 2 repositories listed
  In this paper, we propose TransMEF, a transformer-based multi-exposure image fusion framework that uses self-supervised multi-task learning.
• Deep Convolutional Sparse Coding Networks for Image Fusion
  18 May 2020 2 repositories listed
  Image fusion is a significant problem in many fields including digital photography, computational imaging and remote sensing, to name but a few.
• Dual Illumination Estimation for Robust Exposure Correction
  30 Oct 2019 2 repositories listed
  By performing dual illumination estimation, we obtain two intermediate exposure correction results for the input image, with one fixes the underexposed regions and the other one restores the overexposed regions.
• Multi-Exposure Image Fusion via Distilled 3D LUT Grid with Editable Mode
  18 Dec 2024 1 repository listed
  With the rising imaging resolution of handheld devices, existing multi-exposure image fusion algorithms struggle to generate a high dynamic range image with ultra-high resolution in real-time.
• Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion
  9 Apr 2024 1 repository listed
  In recent years, deep learning networks have made remarkable strides in the domain of multi-exposure image fusion.
• FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
  23 Mar 2024 1 repository listed
  Image fusion typically employs non-invertible neural networks to merge multiple source images into a single fused image.
• Bayesian multi-exposure image fusion for robust high dynamic range ptychography
  17 Mar 2024 1 repository listed
  To overcome this limitation, a straightforward approach is to utilize high dynamic range (HDR) imaging through multi-exposure image fusion (MEF).
• A Dual Domain Multi-exposure Image Fusion Network based on the Spatial-Frequency Integration
  17 Dec 2023 1 repository listed
  Specifically, we introduce a Spatial-Frequency Fusion Block to facilitate efficient interaction between dual domains and capture complementary information from input images with different exposures.
• MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion
  21 Sep 2023 1 repository listed Syntology ran 10 of 11 samples · 1 unverified
  In this paper, we introduce a new approach for high-quality multi-exposure image fusion (MEF).
• EMEF: Ensemble Multi-Exposure Image Fusion
  22 May 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 1 pointer-only (licence)
  In the second stage, we tune the imitator network by optimizing the style code, in order to find an optimal fusion result for each input pair.
• Searching a Compact Architecture for Robust Multi-Exposure Image Fusion
  20 May 2023 1 repository listed
  To mitigate these limitations, this study introduces an architecture search-based paradigm incorporating self-alignment and detail repletion modules for robust multi-exposure image fusion.
• Perceptual Multi-Exposure Fusion
  18 Oct 2022 1 repository listed
  Experiments on the constructed dataset demonstrate that the proposed method exceeds existing eight state-of-the-art approaches in terms of visually and MEF-SSIM value.
• Deep Unrolled Low-Rank Tensor Completion for High Dynamic Range Imaging
  1 Sep 2022 1 repository listed
  In this paper, we propose an algorithm unrolling approach to ghost-free HDR image synthesis algorithm that unrolls an iterative low-rank tensor completion algorithm into deep neural networks to take advantage of the…
• Cross Attention-guided Dense Network for Images Fusion
  23 Sep 2021 1 repository listed
  In this paper, we propose a novel cross-attention-guided image fusion network, which is a unified and unsupervised framework for multi-modal image fusion, multi-exposure image fusion, and multi-focus image fusion.
• PAS-MEF: Multi-exposure image fusion based on principal component analysis, adaptive well-exposedness and saliency map
  25 May 2021 1 repository listed
  High dynamic range (HDR) imaging enables to immortalize natural scenes similar to the way that they are perceived by human observers.
• FuseVis: Interpreting neural networks for image fusion using per-pixel saliency visualization
  6 Dec 2020 1 repository listed
  However, it is challenging to analyze the reliability of these CNNs for the image fusion tasks since no groundtruth is available.
• Ghost-free multi exposure image fusion technique using dense SIFT descriptor and guided filter
  1 Jul 2019 1 repository listed
  A ghost-free multi-exposure image fusion technique using the dense SIFT descriptor and the guided filter is proposed in this paper.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.