Papers › Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network
Zhihang Zhong, Ye Gao, Yinqiang Zheng, Bo Zheng, Imari Sato
Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and the requirement of low computational cost. To improve the network efficiency, we adopt residual dense blocks into RNN cells, so as to efficiently extract the spatial features of the current frame. Furthermore, a global spatio-temporal attention module is proposed to fuse the effective hierarchical features from past and future frames to help better deblur the current frame. Another issue that needs to be addressed urgently is the lack of a real-world benchmark dataset. Thus, we contribute a novel dataset (BSD) to the community, by collecting paired blurry/sharp video clips using a co-axis beam splitter acquisition system. Experimental results show that the proposed method (ESTRNN) can achieve better deblurring performance both quantitatively and qualitatively with less computational cost against state-of-the-art video deblurring methods. In addition, cross-validation experiments between datasets illustrate the high generality of BSD over the synthetic datasets. The code and dataset are released at https://github.com/zzh-tech/ESTRNN.
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Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Deblurring | Beam-Splitter Deblurring (BSD) | ESTRNN | PSNR | 31.39 | #3 of 5 | Archive leaderboard | report |
| Deblurring | GoPro | ESTRNN | PSNR | 31.07 | #48 of 56 | Archive leaderboard | report |
| Deblurring | GoPro | ESTRNN | SSIM | 0.9023 | #48 of 56 | Archive leaderboard | report |
| Image Deblurring | GoPro | ESTRNN | PSNR | 31.07 | #45 of 55 | Archive leaderboard | report |
| Image Deblurring | GoPro | ESTRNN | SSIM | 0.9023 | #45 of 55 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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