ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

Dongxu Li; Chenchen Xu; Kaihao Zhang; Xin Yu; Yiran Zhong; Wenqi Ren; Hanna Suominen; Hongdong Li

doi:10.1109/cvpr46437.2021.00763

CVPR2021顶会

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li

DOI 出版方

2021年份

5顶会引用

摘要

a newly collected High-Frame-Rate (1000 fps) Dataset for Video Deblurring (HFR-DVD). Quantitative and qualitative experiments show that our model performs favorably on both datasets against previous state-of-the-art methods, confirming the benefit of modeling all-range spatial correspondence for video deblurring.