Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?

5 September 2018

Papers citing "Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?"

6 / 6 papers shown

Title
Fully Self-Supervised Depth Estimation from Defocus Clue Haozhe Si Bin Zhao Dong Wang Yupeng Gao Mulin. Chen Zhigang Wang Xuelong Li 43 15 0 19 Mar 2023
Depth Estimation and Image Restoration by Deep Learning from Defocused Images Saqib Nazir Lorenzo Vaquero M. Mucientes V. Brea D. Coltuc 3DV MDE 34 11 0 21 Feb 2023
WorldGen: A Large Scale Generative Simulator Chahat Deep Singh R. Kumari Cornelia Fermuller N. Sanket Yiannis Aloimonos 28 4 0 03 Oct 2022
On the Design of Privacy-Aware Cameras: a Study on Deep Neural Networks Marcela Carvalho Oussama Ennaffi S. Chateau Samy Ait Bachir 29 1 0 24 Aug 2022
Deep Depth from Focal Stack with Defocus Model for Camera-Setting Invariance Yuki Fujimura M. Iiyama Takuya Funatomi Y. Mukaigawa 14 5 0 26 Feb 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015