Note this table is referenced from here.
| Name | Usage | Link | Comments |
|---|---|---|---|
| Set5 | Test | download | jbhuang0604 |
| SET14 | Test | download | jbhuang0604 |
| BSD100 | Test | download | jbhuang0604 |
| Urban100 | Test | download | jbhuang0604 |
| Manga109 | Test | website | |
| SunHay80 | Test | download | jbhuang0604 |
| BSD300 | Train/Val | download | |
| BSD500 | Train/Val | download | |
| 91-Image | Train | download | Yang |
| DIV2K2017 | Train/Val | website | NTIRE2017 |
| Flickr2K | Train | download | |
| Real SR | Train/Val | website | NTIRE2019 |
| Waterloo | Train | website | |
| VID4 | Test | download | 4 videos |
| MCL-V | Train | website | 12 videos |
| GOPRO | Train/Val | website | 33 videos, deblur |
| CelebA | Train | website | Human faces |
| Sintel | Train/Val | website | Optical flow |
| FlyingChairs | Train | website | Optical flow |
| Vimeo-90k | Train/Test | website | 90k HQ videos |
| SR-RAW | Train/Test | website | raw sensor image dataset |
| W2S | Train/Test | arxiv | A Joint Denoising and Super-Resolution Dataset |
| PIPAL | Test | ECCV 2020 | Perceptual Image Quality Assessment dataset |
Benckmark and DIV2K: Set5, Set14, B100, Urban100, Manga109, DIV2K2017 include bicubic downsamples with x2,3,4,8
SR_testing_datasets: Test: Set5, Set14, B100, Urban100, Manga109, Historical; Train: T91,General100, BSDS200