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text stringlengths 23 53
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CVS📸RealDeblurData

This repository contains the dataset presented in the paper Spatio-Temporal Difference Guided Motion Deblurring with the Complementary Vision Sensor.

The Complementary Vision Sensor (CVS), known as Tianmouc, captures synchronized RGB frames together with high-frame-rate, multi-bit spatial difference (SD, encoding structural edges) and temporal difference (TD, encoding motion cues) data within a single RGB exposure.

📦 Introduction

This dataset was captured in real-world environments using the complementary vision sensor for motion deblurring tasks. It contains 96 video clips covering over 100 diverse scenes, including indoor and outdoor environments, various lighting conditions, and different RGB exposure settings, providing rich scene diversity and motion blur variations.

📋 Description

The file 100demo_info.xlsx records detailed information for all collected scenes, as shown below:

scene_EN	scene_CN	cop_exp	aop_exp	range	folder_name
Safe_Passage	安全通道	13265	1240	53-55	000
Yellow_Bicycle	黄单车	11265	1240	71-73	001
Yellow_Disc	黄圆盘	11665	1240	73-74	002
Firefighting	消防	10847	1240	178-180	003
Circular_Spokes	圆形辐条	14236	1240	17-18	004

The meaning of each column is described as follows:

Column Name	Description
`scene_EN`	English name of the scene
`scene_CN`	Chinese name of the scene
`cop_exp`	RGB exposure time
`aop_exp`	TD SD exposure time
`idx`	Specific frame index (optional)
`range`	Frame index range used in the dataset
`folder_name`	Corresponding folder name of the scene