Mauricio Delbracio

Orcid: 0000-0001-7539-2991

Affiliations:
  • Duke University, USA
  • École normale supérieure de Cachan, Paris, France


According to our database1, Mauricio Delbracio authored at least 46 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Soft Diffusion: Score Matching with General Corruptions.
Trans. Mach. Learn. Res., 2023

TIP: Text-Driven Image Processing with Semantic and Restoration Instructions.
CoRR, 2023

Conditional Diffusion Distillation.
CoRR, 2023

Prompt-tuning latent diffusion models for inverse problems.
CoRR, 2023

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration.
CoRR, 2023

Multiscale Structure Guided Diffusion for Image Deblurring.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Image Deblurring with Domain Generalizable Diffusion Models.
CoRR, 2022

Interpretable Unsupervised Diversity Denoising and Artefact Removal.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Deblurring via Stochastic Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Polyblur: Removing Mild Blur by Polynomial Reblurring.
IEEE Trans. Computational Imaging, 2021

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods.
CoRR, 2021

Mobile Computational Photography: A Tour.
CoRR, 2021

Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition.
CoRR, 2021

Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Projected Distribution Loss for Image Enhancement.
Proceedings of the IEEE International Conference on Computational Photography, 2021

2020
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Image Anomalies: A Review and Synthesis of Detection Methods.
J. Math. Imaging Vis., 2019

How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise.
Image Process. Line, 2019

Blind Image Deblurring using the l0 Gradient Prior.
Image Process. Line, 2019

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior.
CoRR, 2019

Efficient blind deblurring under high noise levels.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

2018
Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method.
Image Process. Line, 2018

Reducing Anomaly Detection in Images to Detection in Noise.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Modeling Realistic Degradations in Non-Blind Deconvolution.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Practical Guide to Multi-Image Alignment.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Deep Video Deblurring for Hand-Held Cameras.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Fundamental Limits in Multi-Image Alignment.
IEEE Trans. Signal Process., 2016

An Analysis of the Factors Affecting Keypoint Stability in Scale-Space.
J. Math. Imaging Vis., 2016

Computing an Exact Gaussian Scale-Space.
Image Process. Line, 2016

Deep Video Deblurring.
CoRR, 2016

2015
Removing Camera Shake via Weighted Fourier Burst Accumulation.
IEEE Trans. Image Process., 2015

Hand-Held Video Deblurring Via Efficient Fourier Aggregation.
IEEE Trans. Computational Imaging, 2015

Is Repeatability an Unbiased Criterion for Ranking Feature Detectors?
SIAM J. Imaging Sci., 2015

Accelerating Monte Carlo Renderers by Ray Histogram Fusion.
Image Process. Line, 2015

Comparing feature detectors: A bias in the repeatability criteria.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Burst deblurring: Removing camera shake through fourier burst accumulation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Boosting monte carlo rendering by ray histogram fusion.
ACM Trans. Graph., 2014

Anatomy of the SIFT Method.
Image Process. Line, 2014

Comparing Feature Detectors: A bias in the repeatability criteria, and how to correct it.
CoRR, 2014

An analysis of scale-space sampling in SIFT.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013
Two Problems of Digital Image Formation: Recovering the Camera Point Spread Function and Boosting Stochastic Renderers by Auto-similarity Filtering. (Deux problèmes dans la formation des images numériques : l'estimation du noyau local de flou d'une caméra et l'accélération de rendus stochastiques par filtrage auto-similaire.).
PhD thesis, 2013

Recovering the Subpixel PSF from Two Photographs at Different Distances.
Image Process. Line, 2013

2012
Subpixel Point Spread Function Estimation from Two Photographs at Different Distances.
SIAM J. Imaging Sci., 2012

Non-parametric Sub-pixel Local Point Spread Function Estimation.
Image Process. Line, 2012

The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem.
Int. J. Comput. Vis., 2012

2007
Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation.
Proceedings of the 2007 IEEE Workshop on Automatic Identification Advanced Technologies, 2007


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