The O-Haze dataset contains 35 hazy images (size 2833×4657 pixels) for training. It has 5 hazy images for validation along with their corresponding ground truth images.
57 PAPERS • 1 BENCHMARK
The I-Haze dataset contains 25 indoor hazy images (size 2833×4657 pixels) training. It has 5 hazy images for validation along with their corresponding ground truth images.
31 PAPERS • 1 BENCHMARK
VIDIT is a reference evaluation benchmark and to push forward the development of illumination manipulation methods. VIDIT includes 390 different Unreal Engine scenes, each captured with 40 illumination settings, resulting in 15,600 images. The illumination settings are all the combinations of 5 color temperatures (2500K, 3500K, 4500K, 5500K and 6500K) and 8 light directions (N, NE, E, SE, S, SW, W, NW). Original image resolution is 1024x1024.
20 PAPERS • 1 BENCHMARK
DRealSR establishes a Super Resolution (SR) benchmark with diverse real-world degradation processes, mitigating the limitations of conventional simulated image degradation.
15 PAPERS • NO BENCHMARKS YET