Deep Image Prior

29 November 2017

Andrea Vedaldi

Papers citing "Deep Image Prior"

26 / 426 papers shown

Title
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Regularization by architecture: A deep prior approach for inverse problems Sören Dittmer T. Kluth Peter Maass Daniel Otero Baguer 35 97 0 10 Dec 2018
Deep Energies for Estimating Three-Dimensional Facial Pose and Expression Michael Bao Jane Wu Xinwei Yao Ronald Fedkiw 3DH 23 4 0 07 Dec 2018
Partial Convolution based Padding Guilin Liu Kevin J. Shih Ting-Chun Wang F. Reda Karan Sapra Zhiding Yu Andrew Tao Bryan Catanzaro VLM 30 91 0 28 Nov 2018
Deep Geometric Prior for Surface Reconstruction Francis Williams T. Schneider Claudio Silva Denis Zorin Joan Bruna Daniele Panozzo 3DPC 14 190 0 27 Nov 2018
BCR-Net: a neural network based on the nonstandard wavelet form Yuwei Fan Cindy Orozco Bohorquez Lexing Ying 15 47 0 20 Oct 2018
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values Julius Adebayo Justin Gilmer Ian Goodfellow Been Kim FAtt AAML 19 128 0 08 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 61 1,927 0 08 Oct 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 21 279 0 02 Oct 2018
Language Modeling Teaches You More Syntax than Translation Does: Lessons Learned Through Auxiliary Task Analysis Kelly W. Zhang Samuel R. Bowman 24 70 0 26 Sep 2018
On the Convergence of Learning-based Iterative Methods for Nonconvex Inverse Problems Risheng Liu Shichao Cheng Yi He Xin-Yue Fan Zhouchen Lin Zhongxuan Luo 24 68 0 16 Aug 2018
Learning Personalized Representation for Inverse Problems in Medical Imaging Using Deep Neural Network Kuang Gong Kyungsang Kim Jianan Cui Ning Guo C. Catana J. Qi Quanzheng Li MedIm 16 6 0 04 Jul 2018
Compressed Sensing with Deep Image Prior and Learned Regularization Dave Van Veen A. Jalal Mahdi Soltanolkotabi Eric Price S. Vishwanath A. Dimakis 33 178 0 17 Jun 2018
Latent Convolutional Models ShahRukh Athar E. Burnaev Victor Lempitsky DRL BDL SSL 42 19 0 16 Jun 2018
Random mesh projectors for inverse problems Sidharth Gupta K. Kothari Maarten V. de Hoop Ivan Dokmanić 29 15 0 29 May 2018
Unsupervised Learning with Stein's Unbiased Risk Estimator Christopher A. Metzler Ali Mousavi Reinhard Heckel Richard G. Baraniuk OOD 26 103 0 26 May 2018
Rate-Optimal Denoising with Deep Neural Networks Reinhard Heckel Wen Huang Paul Hand V. Voroninski 20 23 0 22 May 2018
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 18 37 0 18 May 2018
Photorealistic Image Reconstruction from Hybrid Intensity and Event based Sensor Prasan A. Shedligeri Kaushik Mitra 27 32 0 16 May 2018
SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting Yuhang Song Chao Yang Yeji Shen Peng Wang Qin Huang C.-C. Jay Kuo 35 175 0 09 May 2018
Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems Franziska Schirrmacher Thomas Köhler Christian Riess 14 5 0 06 Apr 2018
Noise2Noise: Learning Image Restoration without Clean Data J. Lehtinen Jacob Munkberg J. Hasselgren S. Laine Tero Karras M. Aittala Timo Aila 25 1,582 0 12 Mar 2018
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation Kapil D. Katyal K. Popek Chris Paxton Joseph L. Moore Kevin C. Wolfe Philippe Burlina Gregory Hager GAN 27 11 0 06 Mar 2018
DeepISP: Towards Learning an End-to-End Image Processing Pipeline Eli Schwartz Raja Giryes A. Bronstein VLM 24 225 0 20 Jan 2018
Can Computers Create Art? Aaron Hertzmann 21 148 0 13 Jan 2018
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding V. Papyan Yaniv Romano Michael Elad 59 284 0 27 Jul 2016