A new large-scale benchmark consisting of both synthetic and real-world hazy images, called REalistic Single Image DEhazing (RESIDE). RESIDE highlights diverse data sources and image contents, and is divided into five subsets, each serving different training or evaluation purposes.
Source: RESIDE
Variants: SOTS Indoor, SOTS Outdoor, RESIDE
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Unified Image Restoration | DA-RCOT | Degradation-Aware Residual-Conditioned Optimal Transport for … | 2024-11-03 |
| Image Dehazing | LCA-Net | LCA-Net: Light Convolutional Autoencoder for … | 2020-08-24 |
Recent papers with results on this dataset: