Deep Image Prior

29 November 2017

Andrea Vedaldi

Papers citing "Deep Image Prior"

50 / 426 papers shown

Title
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 17 27 0 18 Sep 2020
Clinically Translatable Direct Patlak Reconstruction from Dynamic PET with Motion Correction Using Convolutional Neural Network Nuobei Xie Kuang Gong Ning Guo ZhiXing Qin Jianan Cui Zhifang Wu Huafeng Liu Quanzheng Li MedIm 16 5 0 13 Sep 2020
Real-Time Selfie Video Stabilization Ji-yang Yu R. Ramamoorthi Ke-Li Cheng M. Sarkis N. Bi 24 22 0 04 Sep 2020
Self-Organized Operational Neural Networks for Severe Image Restoration Problems Junaid Malik S. Kiranyaz Moncef Gabbouj 11 69 0 29 Aug 2020
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
Improving Blind Spot Denoising for Microscopy A. Goncharova A. Honigmann Florian Jug Alexander Krull 33 26 0 19 Aug 2020
Invertible Neural BRDF for Object Inverse Rendering Zhe Chen S. Nobuhara Ko Nishino BDL AI4CE 35 26 0 10 Aug 2020
Multi-Scale Deep Compressive Imaging Thuong Nguyen Canh B. Jeon 13 17 0 03 Aug 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 29 82 0 27 Jul 2020
Adversarial Training Reduces Information and Improves Transferability M. Terzi Alessandro Achille Marco Maggipinto Gian Antonio Susto AAML 21 23 0 22 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 37 416 0 16 Jul 2020
DeepInit Phase Retrieval M. Reiche P. Jung 27 3 0 16 Jul 2020
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows Ali Siahkoohi G. Rizzuti Philipp A. Witte Felix J. Herrmann AI4CE 19 16 0 15 Jul 2020
Guided Fine-Tuning for Large-Scale Material Transfer Valentin Deschaintre G. Drettakis Adrien Bousseau DiffM 3DV 25 52 0 06 Jul 2020
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network Boyun Li Yuanbiao Gou Shuhang Gu Jerry Liu Qiufeng Wang Xi Peng 10 197 0 30 Jun 2020
What shapes feature representations? Exploring datasets, architectures, and training Katherine L. Hermann Andrew Kyle Lampinen OOD 23 153 0 22 Jun 2020
Hierarchical Patch VAE-GAN: Generating Diverse Videos from a Single Sample Shir Gur Sagie Benaim Lior Wolf VGen GAN DRL 22 69 0 22 Jun 2020
Logarithmic Pruning is All You Need Laurent Orseau Marcus Hutter Omar Rivasplata 23 88 0 22 Jun 2020
Implicit Neural Representations with Periodic Activation Functions Vincent Sitzmann Julien N. P. Martel Alexander W. Bergman David B. Lindell Gordon Wetzstein AI4TS 32 2,486 0 17 Jun 2020
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M. Buzzicotti F. Bonaccorso P. C. D. Leoni Luca Biferale AI4CE 14 51 0 16 Jun 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 16 13 0 11 Jun 2020
Learning the geometry of wave-based imaging K. Kothari Maarten V. de Hoop Ivan Dokmanić AI4CE 24 8 0 10 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 21 32 0 09 Jun 2020
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery Junjun Jiang He Sun Xianming Liu Jiayi Ma SupR 26 203 0 18 May 2020
Semantic Photo Manipulation with a Generative Image Prior David Bau Hendrik Strobelt William S. Peebles Jonas Wulff Bolei Zhou Jun-Yan Zhu Antonio Torralba GAN 28 349 0 15 May 2020
Deep Learning Techniques for Inverse Problems in Imaging Greg Ongie A. Jalal Christopher A. Metzler Richard G. Baraniuk A. Dimakis Rebecca Willett 13 520 0 12 May 2020
Data-Free Network Quantization With Adversarial Knowledge Distillation Yoojin Choi Jihwan P. Choi Mostafa El-Khamy Jungwon Lee MQ 27 119 0 08 May 2020
Compressive sensing with un-trained neural networks: Gradient descent finds the smoothest approximation Reinhard Heckel Mahdi Soltanolkotabi 6 79 0 07 May 2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing Zhonghao Zhang Yipeng Liu Jiani Liu Fei Wen Ce Zhu 17 206 0 21 Apr 2020
State of the Art on Neural Rendering A. Tewari Ohad Fried Justus Thies Vincent Sitzmann Stephen Lombardi ... Christian Theobalt Maneesh Agrawala Eli Shechtman Dan B. Goldman Michael Zollhöfer 3DH 3DV 39 466 0 08 Apr 2020
RANSAC-Flow: generic two-stage image alignment Xi Shen Franccois Darmon Alexei A. Efros Mathieu Aubry 19 87 0 03 Apr 2020
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization Marija Vella João F. C. Mota SupR 14 13 0 02 Apr 2020
Uncertainty quantification in imaging and automatic horizon tracking: a Bayesian deep-prior based approach Ali Siahkoohi G. Rizzuti Felix J. Herrmann 25 20 0 01 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 16 260 0 31 Mar 2020
Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation Xingang Pan Xiaohang Zhan Bo Dai Dahua Lin Chen Change Loy Ping Luo DiffM 55 359 0 30 Mar 2020
Learning Invariant Representation for Unsupervised Image Restoration Wenchao Du Hu Chen Hongyu Yang OOD 19 86 0 28 Mar 2020
Solving Inverse Problems with a Flow-based Noise Model Jay Whang Qi Lei A. Dimakis 64 36 0 18 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution Yong Guo Jian Chen Jingdong Wang Qi Chen Jiezhang Cao Zeshuai Deng Yanwu Xu Mingkui Tan SupR 21 281 0 16 Mar 2020
Semantic Pyramid for Image Generation Assaf Shocher Yossi Gandelsman Inbar Mosseri Michal Yarom Michal Irani William T. Freeman Tali Dekel GAN 25 55 0 13 Mar 2020
Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods Daniel Otero Baguer Johannes Leuschner Maximilian Schmidt 29 186 0 10 Mar 2020
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models Sachit Menon Alexandru Damian Shijia Hu Nikhil Ravi Cynthia Rudin OOD DiffM 194 540 0 08 Mar 2020
AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks Majed El Helou Frederike Dumbgen Sabine Süsstrunk CLL AI4CE 30 2 0 07 Mar 2020
Deep Randomized Neural Networks Claudio Gallicchio Simone Scardapane OOD 45 61 0 27 Feb 2020
Towards Learning a Universal Non-Semantic Representation of Speech Joel Shor A. Jansen Ronnie Maor Oran Lang Omry Tuval Félix de Chaumont Quitry Marco Tagliasacchi Ira Shavitt Dotan Emanuel Yinnon A. Haviv SSL 44 155 0 25 Feb 2020
Bayesian Deep Learning and a Probabilistic Perspective of Generalization A. Wilson Pavel Izmailov UQCV BDL OOD 24 639 0 20 Feb 2020
Deep Gaussian Markov Random Fields Per Sidén Fredrik Lindsten BDL 25 22 0 18 Feb 2020
Deep S $^3$ PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models Christopher A. Metzler Gordon Wetzstein 20 11 0 14 Feb 2020
Inference in Multi-Layer Networks with Matrix-Valued Unknowns Parthe Pandit Mojtaba Sahraee-Ardakan S. Rangan P. Schniter A. Fletcher 23 6 0 26 Jan 2020
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder Max Daniels Paul Hand Reinhard Heckel GAN 18 2 0 23 Jan 2020