图像生成 - arXivDaily 专题

2101.09839 2021-11-16 physics.comp-ph 50%

Variational Multi-scale Super-resolution : A data-driven approach for reconstruction and predictive modeling of unresolved physics

Aniruddhe Pradhan, Karthik Duraisamy

专题命中图像修复：diffusion(abstract)

Comments 38 pages, 21 figures

2104.12630 2021-11-10 math.OC 50%

A Generative Variational Model for Inverse Problems in Imaging

Andreas Habring, Martin Holler

专题命中图像修复：inpainting(abstract)

2106.06426 2021-10-27 cs.SD cs.LG eess.AS 50%

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

Gal Greshler, Tamar Rott Shaham, Tomer Michaeli

专题命中图像修复：inpainting(abstract)

1902.10463 2021-10-01 math.AP 50%

A varifold perspective on the $p$-elastic energy of planar sets

Marco Pozzetta

专题命中图像修复：inpainting(abstract)

Journal ref J. Conv. Anal. 27 (2020), No. 3, 845-879

2108.03703 2021-08-10 cs.SD cs.LG 50%

Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences

Darshan Deshpande, Harshavardhan Abichandani

专题命中图像修复：inpainting(abstract)

2107.00109 2021-07-02 stat.ME math.ST stat.TH 50%

Adaptive Capped Least Squares

Qiang Sun, Rui Mao, Wen-Xin Zhou

专题命中图像修复：inpainting(abstract)

2106.10617 2021-06-22 cs.LG 50%

Cogradient Descent for Dependable Learning

Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David Doermann

专题命中图像修复：inpainting(abstract)

Comments arXiv admin note: substantial text overlap with arXiv:2006.09142

2103.10491 2021-03-22 eess.IV 50%

Quantisation Scale-Spaces

Pascal Peter

专题命中图像修复：inpainting(abstract)

Comments To appear in A. Elmoataz, J. Fadili, Y. Queau, J. Rabin, L. Simon (Eds.): Scale Space and Variational Methods in Computer Vision. Lecture Notes in Computer Science, Springer, Cham, 2021

1808.06942 2021-03-15 eess.SP cs.DC cs.LG cs.NA math.NA stat.ML 50%

PACO: Global Signal Restoration via PAtch COnsensus

Ignacio Francisco Ramírez Paulino

专题命中图像修复：inpainting(abstract)

Comments Submitted to Siam SIIMS for peer review

2102.07364 2021-02-16 cs.LG 50%

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Giannis Daras, Joseph Dean, Ajil Jalal, Alexandros G. Dimakis

专题命中图像修复：inpainting(abstract)

2102.06852 2021-02-16 math.OC cs.NA math.NA 50%

Regularized Kaczmarz Algorithms for Tensor Recovery

Xuemei Chen, Jing Qin

专题命中图像修复：inpainting(abstract)

2102.02055 2021-02-04 eess.IV 50%

Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images

Hind Dadoun, Hervé Delingette, Anne-Laure Rousseau, Eric de Kerviler, Nicholas Ayache

专题命中图像修复：inpainting(abstract)

Journal ref International Symposium on Biomedical Imaging, Apr 2021, Nice, France

2102.00325 2021-02-02 eess.IV 50%

Edge, Structure and Texture Refinement for Retrospective High Quality MRI Restoration using Deep Learning

Hao Li, Jianan Liu

专题命中图像修复：image generation(abstract)

Comments 18 pages, 10 figures

1912.09498 2021-01-26 astro-ph.SR astro-ph.GA astro-ph.IM 50%

SSSpaNG! Stellar Spectra as Sparse, data-driven, Non-Gaussian processes

Stephen M. Feeney, Benjamin D. Wandelt, Melissa K. Ness

专题命中图像修复：inpainting(abstract)

Comments Version published in MNRAS. 15 pages, 9 figures, code available from https://github.com/sfeeney/ddspectra

Journal ref MNRAS, Volume 501, Issue 3, March 2021, Pages 3258-3271

1911.06267 2021-01-05 quant-ph hep-lat stat.ML 50%

A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer

Nga T. T. Nguyen, Garrett T. Kenyon, Boram Yoon

专题命中图像修复：inpainting(abstract)

Comments 12 pages, 4 figures

Journal ref Sci Rep 10, 10915 (2020)

2004.11162 2021-01-05 eess.AS cs.SD 50%

Flexible framework for audio reconstruction

Ondřej Mokrý, Pavel Rajmic, Pavel Záviška

专题命中图像修复：inpainting(abstract)

Journal ref 23rd International Conference on Digital Audio Effects (eDAFx2020)

2011.08064 2020-11-17 cs.MA cs.SY eess.SY 50%

Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration

Jaber Valinejad, Lamine Mili, Natalie van der Wal

专题命中图像修复：diffusion(abstract)

2011.07316 2020-11-17 cs.RO 50%

Planning Paths Through Unknown Space by Imagining What Lies Therein

Yutao Han, Jacopo Banfi, Mark Campbell

专题命中图像修复：inpainting(abstract)

Comments Accepted to Conference on Robot Learning (CoRL) 2020

2010.15819 2020-10-30 stat.ML cs.LG 50%

Tensor Completion via Tensor Networks with a Tucker Wrapper

Yunfeng Cai, Ping Li

专题命中图像修复：inpainting(abstract)

1907.05600 2020-10-13 cs.LG stat.ML 50%

Generative Modeling by Estimating Gradients of the Data Distribution

Yang Song, Stefano Ermon

专题命中图像修复：inpainting(abstract)

Comments NeurIPS 2019 (Oral)

2002.04712 2020-09-09 eess.IV 50%

Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

Huihong Zhang, Jianlong Yang, Kang Zhou, Fei Li, Yan Hu, Yitian Zhao, Ce Zheng, Xiulan Zhang, Jiang Liu

专题命中图像修复：inpainting(abstract)

Comments 14 pages. This version has been accepted for publication in the IEEE Journal of Biomedical and Health Informatics (J-BHI)

2008.11411 2020-08-31 cond-mat.mtrl-sci physics.app-ph 50%

Electron Backscattered Diffraction using a New Monolithic Direct Detector: High Resolution and Fast Acquisition

Fulin Wang, McLean P. Echlin, Aidan A. Taylor, Jungho Shin, Benjamin Bammes, Barnaby D. A. Levin, Marc De Graef, Tresa M. Pollock, Daniel S. Gianola

专题命中图像修复：inpainting(abstract)

1912.12942 2020-06-24 cond-mat.dis-nn cs.LG 50%

'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space

Moshir Harsh, Jérôme Tubiana, Simona Cocco, Remi Monasson

专题命中图像修复：diffusion(abstract)

2005.12295 2020-06-10 astro-ph.GA 50%

H0LiCOW XI. A weak lensing measurement of the external convergence in the field of the lensed quasar B1608+656 using HST and Subaru deep imaging

O. Tihhonova, F. Courbin, D. Harvey, S. Hilbert, A. Peel, C. E. Rusu, C. D. Fassnacht, V. Bonvin, P. J. Marshall, G. Meylan, D. Sluse, S. H. Suyu, T. Treu, K. C. Wong

专题命中图像修复：inpainting(abstract)

Comments Accepted MNRAS

2006.04591 2020-06-09 eess.IV cs.NA math.FA math.NA 50%

tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning

Héctor Andrade-Loarca, Gitta Kutyniok

专题命中图像修复：inpainting(abstract)

Comments 25 pages, 8 figures

2006.03653 2020-06-09 cs.LG eess.IV eess.SP stat.ML 50%

Joint learning of variational representations and solvers for inverse problems with partially-observed data

Ronan Fablet, Lucas Drumetz, Francois Rousseau

专题命中图像修复：inpainting(abstract)

Comments 10 pages, 2 figures

1907.04699 2020-05-26 eess.IV cs.LG eess.SP 50%

From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration

Yunyi Li, Guan Gui, Xiefeng Cheng

专题命中图像修复：inpainting(abstract)

Comments Accepted by Signal Processing

1811.09446 2020-05-12 math.NA cs.NA stat.CO 50%

Semivariogram methods for modeling Whittle-Matérn priors in Bayesian inverse problems

Richard D. Brown, Johnathan M. Bardsley, Tiangang Cui

专题命中图像修复：inpainting(abstract)

Journal ref Inverse Problems 36 055006 (2020)

1801.06727 2020-03-31 q-fin.ST math.ST stat.ML stat.TH 50%

A Second Order Cumulant Spectrum Test That a Stochastic Process is Strictly Stationary and a Step Toward a Test for Graph Signal Strict Stationarity

Denisa Roberts, Douglas Patterson

专题命中图像修复：inpainting(abstract)

Comments 6 pages

Journal ref NeurIPS 2018 Workshop for the Spatiotemporal Domain

1811.03996 2020-03-27 cs.IT math.IT 50%

Uncertainty relations and sparse signal recovery

Erwin Riegler, Helmut Bölcskei

专题命中图像修复：inpainting(abstract)

Comments Chapter in Information-theoretic Methods in Data Science, M. Rodrigues and Y. Eldar, Eds., Cambridge University Press, 2020

1. 图像修复 1781 篇

Variational Multi-scale Super-resolution : A data-driven approach for reconstruction and predictive modeling of unresolved physics

A Generative Variational Model for Inverse Problems in Imaging

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example

A varifold perspective on the $p$-elastic energy of planar sets

Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio Sequences

Adaptive Capped Least Squares

Cogradient Descent for Dependable Learning

Quantisation Scale-Spaces

PACO: Global Signal Restoration via PAtch COnsensus

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models

Regularized Kaczmarz Algorithms for Tensor Recovery

Combining Bayesian and Deep Learning Methods for the Delineation of the Fan in Ultrasound Images

Edge, Structure and Texture Refinement for Retrospective High Quality MRI Restoration using Deep Learning

SSSpaNG! Stellar Spectra as Sparse, data-driven, Non-Gaussian processes

A regression algorithm for accelerated lattice QCD that exploits sparse inference on the D-Wave quantum annealer

Flexible framework for audio reconstruction

Research Needed in Computational Social Science for Power System Reliability, Resilience, and Restoration

Planning Paths Through Unknown Space by Imagining What Lies Therein

Tensor Completion via Tensor Networks with a Tucker Wrapper

Generative Modeling by Estimating Gradients of the Data Distribution

Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning

Electron Backscattered Diffraction using a New Monolithic Direct Detector: High Resolution and Fast Acquisition

'Place-cell' emergence and learning of invariant data with restricted Boltzmann machines: breaking and dynamical restoration of continuous symmetries in the weight space

H0LiCOW XI. A weak lensing measurement of the external convergence in the field of the lensed quasar B1608+656 using HST and Subaru deep imaging

tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning

Joint learning of variational representations and solvers for inverse problems with partially-observed data

From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration

Semivariogram methods for modeling Whittle-Matérn priors in Bayesian inverse problems

A Second Order Cumulant Spectrum Test That a Stochastic Process is Strictly Stationary and a Step Toward a Test for Graph Signal Strict Stationarity

Uncertainty relations and sparse signal recovery