Deep Image Prior

29 November 2017

Andrea Vedaldi

Papers citing "Deep Image Prior"

50 / 426 papers shown

Title
MarioNette: Self-Supervised Sprite Learning Dmitriy Smirnov Michael Gharbi Matthew Fisher Vitor Campagnolo Guizilini Alexei A. Efros Justin Solomon SSL OCL 74 37 0 29 Apr 2021
Low-Light Image and Video Enhancement Using Deep Learning: A Survey Chongyi Li Chunle Guo Linghao Han Jun Jiang Mingg-Ming Cheng Liang Feng Chen Change Loy 53 358 0 21 Apr 2021
Image Inpainting with External-internal Learning and Monochromic Bottleneck Tengfei Wang Hao Ouyang Qifeng Chen 49 55 0 19 Apr 2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective Lei Chu Hao Pan Wenping Wang 3DPC 34 11 0 19 Apr 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little Koustuv Sinha Robin Jia Dieuwke Hupkes J. Pineau Adina Williams Douwe Kiela 45 243 0 14 Apr 2021
All you need are a few pixels: semantic segmentation with PixelPick Gyungin Shin Weidi Xie Samuel Albanie VLM 27 42 0 13 Apr 2021
The surprising impact of mask-head architecture on novel class segmentation Vighnesh Birodkar Zhichao Lu Siyang Li V. Rathod Jonathan Huang ISeg 36 27 0 01 Apr 2021
Explore Image Deblurring via Blur Kernel Space Phong Tran Anh Tran Quynh Phung Minh Hoai 19 71 0 01 Apr 2021
Dual Contrastive Loss and Attention for GANs Ning Yu Guilin Liu Aysegül Dündar Andrew Tao Bryan Catanzaro Larry S. Davis Mario Fritz GAN 34 60 0 31 Mar 2021
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models Niv Granot Ben Feinstein Assaf Shocher Shai Bagon Michal Irani DiffM VLM 32 58 0 29 Mar 2021
Equivariant Imaging: Learning Beyond the Range Space Dongdong Chen Julián Tachella Mike E. Davies SSL 28 93 0 26 Mar 2021
ISTA-Net++: Flexible Deep Unfolding Network for Compressive Sensing Di You Jingfen Xie Jian Zhang 25 96 0 22 Mar 2021
Using latent space regression to analyze and leverage compositionality in GANs Lucy Chai Jonas Wulff Phillip Isola GAN 40 75 0 18 Mar 2021
Missing Cone Artifacts Removal in ODT using Unsupervised Deep Learning in Projection Domain Hyungjin Chung Jaeyoung Huh Geon Kim Y. Park Jong Chul Ye 57 14 0 16 Mar 2021
NeX: Real-time View Synthesis with Neural Basis Expansion Suttisak Wizadwongsa Pakkapon Phongthawee Jiraphon Yenphraphai Supasorn Suwajanakorn 11 302 0 09 Mar 2021
Deep Gradient Projection Networks for Pan-sharpening Shuang Xu Jiangshe Zhang Zixiang Zhao Kai Sun Junmin Liu Chunxia Zhang 11 131 0 08 Mar 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
Computing the Information Content of Trained Neural Networks Jeremy Bernstein Yisong Yue 22 4 0 01 Mar 2021
A Brief Introduction to Generative Models Alex Lamb GAN VLM 19 16 0 27 Feb 2021
Countering Malicious DeepFakes: Survey, Battleground, and Horizon Felix Juefei Xu Run Wang Yihao Huang Qing-Wu Guo Lei Ma Yang Liu AAML 33 130 0 27 Feb 2021
Hyperspectral Denoising Using Unsupervised Disentangled Spatio-Spectral Deep Priors Yuchun Miao Xile Zhao Xiao Fu Jian-Li Wang Yu-Bang Zheng 28 40 0 24 Feb 2021
Generator Surgery for Compressed Sensing Niklas Smedemark-Margulies Jung Yeon Park Max Daniels Rose Yu Jan-Willem van de Meent Paul Hand GAN MedIm 24 6 0 22 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 33 324 0 22 Feb 2021
Trumpets: Injective Flows for Inference and Inverse Problems K. Kothari AmirEhsan Khorashadizadeh Maarten V. de Hoop Ivan Dokmanić TPM 24 50 0 20 Feb 2021
A Comprehensive Review of Deep Learning-based Single Image Super-resolution S. M. A. Bashir Yi Wang Mahrukh Khan Yilong Niu SupR AI4Cl 40 112 0 18 Feb 2021
Restore from Restored: Single-image Inpainting E. H. Lee Jeongseop Kim Ji Su Kim Tae Hyun Kim 33 3 0 16 Feb 2021
Zero-Shot Self-Supervised Learning for MRI Reconstruction Burhaneddin Yaman S. A. Hosseini Mehmet Akçakaya 21 67 0 15 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 22 16 0 12 Jan 2021
Contextual colorization and denoising for low-light ultra high resolution sequences Nantheera Anantrasirichai David Bull DiffM 26 17 0 05 Jan 2021
Reservoir Transformers Sheng Shen Alexei Baevski Ari S. Morcos Kurt Keutzer Michael Auli Douwe Kiela 35 17 0 30 Dec 2020
Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu Vladislav Skripniuk Dingfan Chen Larry S. Davis Mario Fritz WIGM 46 89 0 16 Dec 2020
Deep Optimized Priors for 3D Shape Modeling and Reconstruction Mingyue Yang Yuxin Wen Weikai Chen Y. Chen Kui Jia 21 32 0 14 Dec 2020
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal Xiaodong Cun Chi-Man Pun 42 43 0 13 Dec 2020
Bayesian Image Reconstruction using Deep Generative Models Razvan Marinescu Daniel Moyer Polina Golland OOD DiffM 23 39 0 08 Dec 2020
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN Gyutaek Oh Hyokyoung Bae Hyun-Seo Ahn Sung-Hong Park J. C. Ye MedIm 25 4 0 07 Dec 2020
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme F. Picetti S. Mandelli Paolo Bestagini V. Lipari Stefano Tubaro 38 12 0 07 Dec 2020
CARAFE++: Unified Content-Aware ReAssembly of FEatures Jiaqi Wang Kai-xiang Chen Rui Xu Ziwei Liu Chen Change Loy Dahua Lin 21 54 0 07 Dec 2020
Model Adaptation for Inverse Problems in Imaging Davis Gilton Greg Ongie Rebecca Willett OOD MedIm 16 48 0 30 Nov 2020
Direct Evolutionary Optimization of Variational Autoencoders With Binary Latents E. Guiraud Jakob Drefs Jörg Lücke DRL 33 3 0 27 Nov 2020
How Well Do Self-Supervised Models Transfer? Linus Ericsson Henry Gouk Timothy M. Hospedales SSL 35 274 0 26 Nov 2020
SCGAN: Saliency Map-guided Colorization with Generative Adversarial Network Yuzhi Zhao L. Po K. Cheung W. Yu Yasar Abbas Ur Rehman GAN 15 56 0 23 Nov 2020
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 27 101 0 09 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 33 13 0 27 Oct 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 17 74 0 27 Oct 2020
Using Deep Image Priors to Generate Counterfactual Explanations V. Narayanaswamy Jayaraman J. Thiagarajan A. Spanias 18 4 0 22 Oct 2020
Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising Yaochen Xie Zhengyang Wang Shuiwang Ji 17 109 0 22 Oct 2020
Empty Cities: a Dynamic-Object-Invariant Space for Visual SLAM Berta Bescós Cesar Cadena José Neira 20 26 0 15 Oct 2020
Deep generative demixing: Recovering Lipschitz signals from noisy subgaussian mixtures Aaron Berk 14 0 0 13 Oct 2020
Spatial Frequency Bias in Convolutional Generative Adversarial Networks Mahyar Khayatkhoei Ahmed Elgammal GAN 18 45 0 04 Oct 2020
Bespoke Neural Networks for Score-Informed Source Separation Ethan Manilow Bryan Pardo 11 4 0 29 Sep 2020