Deep Video Deblurring: The Devil is in the Details

26 September 2019

Papers citing "Deep Video Deblurring: The Devil is in the Details"

8 / 8 papers shown

Title
Multi-Scale Memory-Based Video Deblurring Bongil Ji Angela Yao 16 22 0 06 Apr 2022
Flow-Guided Sparse Transformer for Video Deblurring Jing Lin Yuanhao Cai Xiaowan Hu Haoqian Wang Youliang Yan X. Zou Henghui Ding Yulun Zhang Radu Timofte Luc Van Gool ViT 17 63 0 06 Jan 2022
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring Chao Zhu Hang Dong Jin-shan Pan Boyang Liang Yuhao Huang Lean Fu Fei Wang 13 41 0 09 Dec 2021
Recurrent Video Deblurring with Blur-Invariant Motion Estimation and Pixel Volumes Hyeongseok Son Junyong Lee Jonghyeop Lee Sunghyun Cho Seungyong Lee 13 73 0 23 Aug 2021
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement Dario Fuoli Zhiwu Huang D. Paudel Luc Van Gool Radu Timofte 26 6 0 24 Dec 2020
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times Omer Dahary M. Jacoby A. Bronstein 11 5 0 08 Dec 2020
Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data Abdullah Abuolaim M. Delbracio D. Kelly M. S. Brown P. Milanfar 40 54 0 06 Dec 2020
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior Jin-shan Pan Haoran Bai Jinhui Tang 19 147 0 06 Apr 2020