Sign inGet started
Dataset · Hugging Face

jinlong17/CTVid-Bench

CTVid-Bench CTVid-Bench is an open-source testing benchmark for clear text video restoration. This release packages the public evaluation media for three methods (GT, blur, downsample_x4) together with the latest QA v2 annotations. Paper: ClearText-Video: A Large-Scale Text-Centric Video Dataset Bridging Video Restoration and Scene-Text Enhancement, accepted at ECCV 2026. Project Page · arXiv:2608.28784 · Code Release Scope This folder is the Hugging Face staging… See the full description on the dataset page: https://huggingface.co/datasets/jinlong17/CTVid-Bench.

Author / organizationjinlong17
Downloads7K (as reported by Hugging Face)
Likes0
Created23 June 2026
Last updated at source1 September 2026
video-restorationtext-videoscene-textbenchmark
Embed this entry
<iframe src="https://silytics.si/embed/item/4c9fd6a2-4926-41c7-9d71-481080462ff1" 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

6,970 now (+17 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

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 Information may be incomplete or out of date.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.