Deep Image Prior

29 November 2017

Andrea Vedaldi

Papers citing "Deep Image Prior"

50 / 158 papers shown

Title
The Augmented Image Prior: Distilling 1000 Classes by Extrapolating from a Single Image Yuki M. Asano Aaqib Saeed 16 7 0 01 Dec 2021
Unsupervised Image Denoising with Frequency Domain Knowledge Nahyun Kim Dong-Won Jang Sunhyeok Lee Bomi Kim Dae-Shik Kim 8 6 0 29 Nov 2021
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior Metin Ersin Arican Ozgur Kara G. Bredell E. Konukoglu 20 17 0 27 Nov 2021
Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements Dongdong Chen Julián Tachella Mike E. Davies OOD 9 59 0 25 Nov 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction Riccardo Barbano Johannes Leuschner Maximilian Schmidt Alexander Denker A. Hauptmann Peter Maass Bangti Jin 26 19 0 23 Nov 2021
Image-specific Convolutional Kernel Modulation for Single Image Super-resolution Yuanfei Huang Jie Li Yanting Hu Xinbo Gao Huan Huang SupR 6 0 0 16 Nov 2021
Unsupervised PET Reconstruction from a Bayesian Perspective Chenyu Shen Wenjun Xia H. Ye Mingzheng Hou Hu Chen Yan Liu Jiliu Zhou Yi Zhang 31 3 0 29 Oct 2021
Variational framework for partially-measured physical system control: examples of vision neuroscience and optical random media Babak Rahmani D. Psaltis C. Moser VGen DRL 10 1 0 25 Oct 2021
"One-Shot" Reduction of Additive Artifacts in Medical Images Yu-Jen Chen Yen-Jung Chang Shao-Cheng Wen Yiyu Shi Xiaowei Xu Tsung-Yi Ho Caiming Xiong Haiyun Yuan Zhuang Jian MedIm 8 3 0 23 Oct 2021
Relighting Humans in the Wild: Monocular Full-Body Human Relighting with Domain Adaptation Daichi Tajima Yoshihiro Kanamori Yuki Endo 3DH 65 21 0 14 Oct 2021
Accelerating Multi-Objective Neural Architecture Search by Random-Weight Evaluation Shengran Hu Ran Cheng Cheng He Zhichao Lu Jing Wang Miao Zhang 16 7 0 08 Oct 2021
Neural Knitworks: Patched Neural Implicit Representation Networks Mikolaj Czerkawski Javier Cardona Robert C. Atkinson W. Michie I. Andonovic C. Clemente Christos Tachtatzis 16 11 0 29 Sep 2021
Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys Aziz Koçanaoğulları Cemre Ariyurek O. Afacan Sila Kurugol MedIm 17 4 0 15 Sep 2021
F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling Soufiane Belharbi Aydin Sarraf M. Pedersoli Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 18 30 0 15 Sep 2021
Image Shape Manipulation from a Single Augmented Training Sample Yael Vinker Eliahu Horwitz Nir Zabari Yedid Hoshen GAN 18 20 0 13 Sep 2021
View Blind-spot as Inpainting: Self-Supervised Denoising with Mask Guided Residual Convolution Yuhongze Zhou Liguang Zhou Tin Lun Lam Yangsheng Xu SSL 14 2 0 10 Sep 2021
Blind Image Decomposition Junlin Han Weihao Li Pengfei Fang Chunyi Sun Jie Hong M. Armin L. Petersson Hongdong Li 19 34 0 25 Aug 2021
Black-Box Test-Time Shape REFINEment for Single View 3D Reconstruction Brandon Leung Chih-Hui Ho Nuno Vasconcelos 10 5 0 23 Aug 2021
A Generalized Framework for Edge-preserving and Structure-preserving Image Smoothing Wei Liu Pingping Zhang Yinjie Lei Xiaolin Huang Jie Yang Michael K. Ng 18 77 0 15 Jul 2021
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space Dror Freirich T. Michaeli Ron Meir 14 40 0 06 Jul 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 23 90 0 26 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 19 111 0 18 Feb 2021
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty Jierun Chen Song Wen Shueng-Han Gary Chan 14 16 0 12 Jan 2021
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu Vladislav Skripniuk Dingfan Chen Larry S. Davis Mario Fritz WIGM 17 89 0 16 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan V. Marinescu Daniel Moyer Polina Golland OOD DiffM 16 37 0 08 Dec 2020
Using Deep Image Priors to Generate Counterfactual Explanations V. Narayanaswamy Jayaraman J. Thiagarajan A. Spanias 8 4 0 22 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 4 0 0 13 Oct 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 6 5 0 13 Sep 2020
Real-Time Selfie Video Stabilization Ji-yang Yu R. Ramamoorthi Ke-Li Cheng M. Sarkis N. Bi 11 22 0 04 Sep 2020
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor A. Madry 30 415 0 16 Jul 2020
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery Junjun Jiang He Sun Xianming Liu Jiayi Ma SupR 13 197 0 18 May 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 11 258 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 33 357 0 30 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 13 277 0 16 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 180 536 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 11 2 0 07 Mar 2020
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators Reinhard Heckel Mahdi Soltanolkotabi DiffM 22 80 0 31 Oct 2019
Noisier2Noise: Learning to Denoise from Unpaired Noisy Data N. Moran Dan Schmidt Yu Zhong Patrick Coady 14 225 0 25 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 16 34 0 07 Oct 2019
Efficient Continual Learning in Neural Networks with Embedding Regularization Jary Pomponi Simone Scardapane Vincenzo Lomonaco A. Uncini CLL 14 41 0 09 Sep 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 18 252 0 19 Jun 2019
Probabilistic Noise2Void: Unsupervised Content-Aware Denoising Alexander Krull Tomáš Vičar Florian Jug DiffM 12 165 0 03 Jun 2019
SinGAN: Learning a Generative Model from a Single Natural Image Tamar Rott Shaham Tali Dekel T. Michaeli GAN VLM 18 823 0 02 May 2019
Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation Jiaming Liu Chihao Wu Yuzhi Wang Qin Xu Yuqian Zhou ... Chuan Wang Shaofan Cai Yifan Ding Haoqiang Fan Jue Wang 15 67 0 29 Apr 2019
Controlling Neural Networks via Energy Dissipation Michael Möller Thomas Möllenhoff Daniel Cremers 22 17 0 05 Apr 2019
Unsupervised Data Imputation via Variational Inference of Deep Subspaces Adrian V. Dalca John Guttag M. Sabuncu DRL 10 13 0 08 Mar 2019
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 9 852 0 18 Jan 2019
Deep Geometric Prior for Surface Reconstruction Francis Williams T. Schneider Claudio Silva Denis Zorin Joan Bruna Daniele Panozzo 3DPC 6 189 0 27 Nov 2018
Deep Decoder: Concise Image Representations from Untrained Non-convolutional Networks Reinhard Heckel Paul Hand 14 273 0 02 Oct 2018