DIV2KRK (DIV2K Random Kernel)
Introduced by Bell-Kligler et al. in Blind Super-Resolution Kernel Estimation using an Internal-GAN
Using the validation set (100 images) from the widely used DIV2K dataset, we blurred and subsampled each image with a different, randomly generated kernel. Kernels were 11x11 anisotropic gaussians with random lengths λ1, λ2∼U(0.6, 5) independently distributed for each axis, rotated by a random angle θ∼U[−π, π].
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
DIV2KRK - 4x upscaling
|
DCLS
|
|||
|
DIV2KRK - 2x upscaling
|
DCLS
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
