DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

1 December 2020

Martin R. Oswald

Marc Pollefeys

Papers citing "DeFMO: Deblurring and Shape Recovery of Fast Moving Objects"

10 / 10 papers shown

Title
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 41 8 0 02 May 2024
Retrieval Robust to Object Motion Blur Rong Zou Marc Pollefeys D. Rozumnyi 36 0 0 27 Apr 2024
Lightweight High-Speed Photography Built on Coded Exposure and Implicit Neural Representation of Videos Zhihong Zhang Runzhao Yang J. Suo Yuxiao Cheng Qionghai Dai 37 0 0 22 Nov 2023
Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding Y. Oh J. Park Jaeha Kim Gyeongsik Moon Kyoung Mu Lee 3DH 39 9 0 27 Mar 2023
Blur Interpolation Transformer for Real-World Motion from Blur Zhihang Zhong Ming Cao Xiang Ji Yinqiang Zheng Imari Sato ViT 33 25 0 21 Nov 2022
H2-Stereo: High-Speed, High-Resolution Stereoscopic Video System Ming Cheng Yiling Xu Wang Shen M. Salman Asif Chao Ma Jun Sun Zhan Ma 25 3 0 04 Aug 2022
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance Zhihang Zhong Xiao Sun Zhirong Wu Yinqiang Zheng Stephen Lin Imari Sato 3DH 22 20 0 20 Jul 2022
Shape from Blur: Recovering Textured 3D Shape and Motion of Fast Moving Objects D. Rozumnyi Martin R. Oswald V. Ferrari Marc Pollefeys 3DH 26 11 0 16 Jun 2021
Recent Advances on Non-Line-of-Sight Imaging: Conventional Physical Models, Deep Learning, and New Scenes Ruixu Geng Yang Hu Yan Chen 19 30 0 28 Apr 2021
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016