Dataset · Hugging Face

dwchoi/div2k800-ffhq1000

Name: div2k800-ffhq1000
Creator: dwchoi
License: other
Keywords: task_categories:image-to-image, task_categories:text-to-image, language:en, license:other, size_categories:1K<n<10K, format:imagefolder, modality:image, modality:text, library:datasets, library:mlcroissant, region:us, inverse-problems, image-restoration, super-resolution, deblurring

DIV2K-800 + FFHQ-1000 (with prompts) A convenience mirror of the two ground-truth image sets used as benchmarks for diffusion-based inverse problems (super-resolution, Gaussian/motion deblurring, inpainting, …), bundled with the text prompts that accompany each set. Everything here is the clean ground truth — no degraded / measurement images are included. Degradations are meant to be generated on the fly by the operator A of whichever task you are running. Contents… See the full description on the dataset page: https://huggingface.co/datasets/dwchoi/div2k800-ffhq1000.

View on Hugging FaceReport an issue

Author / organization	dwchoi
License (as declared)	other
Downloads	5K (as reported by Hugging Face)
Likes	0
Created	20 August 2026
Last updated at source	20 August 2026

inverse-problemsimage-restorationsuper-resolutiondeblurringinpaintingdiffusiondiv2kffhqbenchmark

Embed this entry

<iframe src="https://silytics.si/embed/item/a7415bc0-52d9-4b6b-ad24-50805c94e8e6" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

4,995 now (+137 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.