| Low-light Image Enhancement via CLIP-Fourier Guided Wavelet Diffusion | ✓ Link | 29.185 | | 0.872 | | | | | | | CFWD | 2024-01-08 |
| Bayesian Enhancement Models for One-to-Many Mapping in Image Enhancement | ✓ Link | 28.80 | 0.069 | 0.884 | | | | | | | BEM_ | 2024-10-13 |
| You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement | ✓ Link | 28.141 | 0.079 | 0.889 | 7.57 | 1.88 | 0.889 | | | | CIDNet | 2024-02-08 |
| Global Structure-Aware Diffusion Process for Low-Light Image Enhancement | ✓ Link | 27.83 | 0.091 | 0.877 | | | | | | | GlobalDiff | 2023-10-26 |
| GLARE: Low Light Image Enhancement via Generative Latent Feature based Codebook Retrieval | ✓ Link | 27.35 | 0.083 | 0.883 | | | 0.883 | | | | GLARE | 2024-07-17 |
| LYT-NET: Lightweight YUV Transformer-based Network for Low-light Image Enhancement | ✓ Link | 27.23 | 0.071 | 0.853 | 3.49 | 0.045 | | | | | LYT-Net | 2024-01-26 |
| WaveNet: Wave-Aware Image Enhancement | ✓ Link | 27.22 | 0.083 | 0.873 | | | | | | | WaveNet-B_ | 2023-10-10 |
| Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention | ✓ Link | 27.18 | | 0.864 | | 2.80 | | | | | KAN-T | 2024-11-07 |
| Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement | ✓ Link | 27.18 | | 0.850 | 15.57 | 1.61 | | | | | Retinexformer_ | 2023-03-12 |
| Pyramid Diffusion Models For Low-light Image Enhancement | ✓ Link | 27.09 | 0.10 | 0.93 | | | | | | | PyDiff | 2023-05-17 |
| DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity | ✓ Link | 27.01 | | 0.872 | | | | | | | DPEC_ | 2024-06-28 |
| Bayesian Enhancement Models for One-to-Many Mapping in Image Enhancement | ✓ Link | 26.83 | 0.072 | 0.877 | | | | | | | BEM | 2024-10-13 |
| Low-Light Image Enhancement with Wavelet-based Diffusion Models | ✓ Link | 26.336 | | 0.845 | | | | | | | DiffLL | 2023-06-01 |
| ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement | ✓ Link | 25.770 | 0.212 | 0.860 | | | | | | | ExpoMamba | 2024-08-19 |
| WaveNet: Wave-Aware Image Enhancement | ✓ Link | 25.44 | 0.09 | 0.864 | | | | | | | WaveNet-B | 2023-10-10 |
| Glow in the Dark: Low-Light Image Enhancement with External Memory | ✓ Link | 25.37 | 0.086 | 0.8686 | | | | | | | EMNet | 2023-07-10 |
| Low-Light Image Enhancement with Normalizing Flow | ✓ Link | 25.19 | 0.11 | 0.93 | | | | | | | LLFlow | 2021-09-13 |
| Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement | ✓ Link | 25.16 | | 0.845 | 15.57 | 1.61 | | | | | Retinexformer | 2023-03-12 |
| FLIGHT Mode On: A Feather-Light Network for Low-Light Image Enhancement | ✓ Link | 24.96 | | 0.85 | | | | 0.025 | | | FLIGHTNet | 2023-05-18 |
| DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity | ✓ Link | 24.80 | | 0.855 | | | | | | | DPEC | 2024-06-28 |
| Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise | ✓ Link | 24.63 | 0.107 | 0.860 | | | | | | | Resfusion | 2023-11-25 |
| WaveNet: Wave-Aware Image Enhancement | ✓ Link | 24.54 | 0.1 | 0.856 | | | | | | | WaveNet-S | 2023-10-10 |
| Image Enhancement Based on Histogram-Guided Multiple Transformation Function Estimation | ✓ Link | 24.26 | | | | | | | | | HG-MTFE | 2024-10-08 |
| OneRestore: A Universal Restoration Framework for Composite Degradation | ✓ Link | 24.25 | | 0.8564 | | | | | | | OneRestore | 2024-07-05 |
| Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement | ✓ Link | 24.24 | 0.12 | 0.852 | | | | | | | HWMNet | 2022-03-02 |
| PPformer: Using pixel-wise and patch-wise cross-attention for low-light image enhancement | ✓ Link | 23.91 | 0.12 | 0.841 | | | | | | | PPformer | 2024-01-15 |
| Controlling Vision-Language Models for Multi-Task Image Restoration | ✓ Link | 23.77 | 0.083 | 0.830 | | | | | | | DA-CLIP | 2023-10-02 |
| WaveNet: Wave-Aware Image Enhancement | ✓ Link | 23.59 | 0.14 | 0.839 | | | | | | | WaveNet-T (80k parameters) | 2023-10-10 |
| You Only Need One Color Space: An Efficient Network for Low-light Image Enhancement | ✓ Link | 23.500 | 0.086 | 0.870 | 7.57 | 1.88 | 0.870 | | | | CIDNet-Normal | 2024-02-08 |
| MAXIM: Multi-Axis MLP for Image Processing | ✓ Link | 23.43 | | 0.863 | | | | | | | MAXIM | 2022-01-09 |
| You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction | ✓ Link | 23.38 | | 0.809 | | | | | | | IAT (90k parameter) | 2022-05-30 |
| Low-light Image Enhancement via Breaking Down the Darkness | ✓ Link | 22.96 | | 0.838 | | | | | | | Bread | 2021-11-30 |
| Multiple transformation function estimation for image enhancement | ✓ Link | 22.86 | | | | | | | | | MTFE | 2023-09-01 |
| TreEnhance: A Tree Search Method For Low-Light Image Enhancement | ✓ Link | 21.96 | | 0.81 | | | | | | | TreEnhance | 2022-05-25 |
| Forward-only Diffusion Probabilistic Models | ✓ Link | 21.61 | 0.105 | 0.819 | | | | | | 41.31 | FoD | 2025-05-22 |
| Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression | ✓ Link | 21.52 | | 0.763 | | | | | | | night-enhancement | 2022-07-21 |
| Kindling the Darkness: A Practical Low-light Image Enhancer | ✓ Link | 20.8665 | | | | | | | | | KinD | 2019-05-04 |
| Unsupervised Low-Light Image Enhancement via Histogram Equalization Prior | ✓ Link | 20.23 | | | | | | | | | HEP | 2021-12-03 |
| CDAN: Convolutional dense attention-guided network for low-light image enhancement | ✓ Link | 20.102 | 0.167 | 0.816 | | | | | | | CDAN | 2023-08-24 |
| 0/1 Deep Neural Networks via Block Coordinate Descent | | | | | | | | | 0.2 | | rr | 2022-06-19 |