Training data for OD-CLIP: a degradation-aware CLIP variant that jointly
predicts degradation type and LPIPS-calibrated perceptual severity, used for
blind image super-resolution.
The dataset provides paired ground-truth (GT) and low-quality (LQ) image
crops together with per-image degradation metadata, covering four synthetic
degradation types (Gaussian blur, Gaussian noise, JPEG compression, and
downsampling) at a dense grid of physical severity… See the full description on the dataset page:
https://huggingface.co/datasets/yeeecheng/OD-CLIP.
