Aguará: An Improved Face Recognition Algorithm through Gabor Filter Adaptation. - Cecilia Aguerrebere; Germán Capdehourat; Mauricio Delbracio; Matías Mateu; Alicia Fernández; Federico Lecumberry (AutoID, 2007)

The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem. - Mauricio Delbracio; Pablo Musé; Andrés Almansa; Jean-Michel Morel (Int. J. Comput. Vis., 2012)

Non-parametric Sub-pixel Local Point Spread Function Estimation. - Mauricio Delbracio; Pablo Musé; Andrés Almansa (Image Process. Line, 2012)

Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. - Mauricio Delbracio; Andrés Almansa; Jean-Michel Morel; Pablo Musé (SIAM J. Imaging Sci., 2012)

Recovering the Subpixel PSF from Two Photographs at Different Distances. - Mauricio Delbracio; Andrés Almansa; Pablo Musé (Image Process. Line, 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.). - Mauricio Delbracio (2013)

An analysis of scale-space sampling in SIFT. - Ives Rey-Otero; Jean-Michel Morel; Mauricio Delbracio (ICIP, 2014)

Comparing Feature Detectors: A bias in the repeatability criteria, and how to correct it. - Ives Rey-Otero; Mauricio Delbracio; Jean-Michel Morel (CoRR, 2014)

Anatomy of the SIFT Method. - Ives Rey-Otero; Mauricio Delbracio (Image Process. Line, 2014)

Boosting monte carlo rendering by ray histogram fusion. - Mauricio Delbracio; Pablo Musé; Antoni Buades; Julien Chauvier; Nicholas Phelps; Jean-Michel Morel (ACM Trans. Graph., 2014)

Burst deblurring: Removing camera shake through fourier burst accumulation. - Mauricio Delbracio; Guillermo Sapiro (CVPR, 2015)

Comparing feature detectors: A bias in the repeatability criteria. - Ives Rey-Otero; Mauricio Delbracio; Jean-Michel Morel (ICIP, 2015)

Accelerating Monte Carlo Renderers by Ray Histogram Fusion. - Mauricio Delbracio; Pablo Musé; Antoni Buades; Jean-Michel Morel (Image Process. Line, 2015)

Is Repeatability an Unbiased Criterion for Ranking Feature Detectors? - Ives Rey-Otero; Mauricio Delbracio (SIAM J. Imaging Sci., 2015)

Hand-Held Video Deblurring Via Efficient Fourier Aggregation. - Mauricio Delbracio; Guillermo Sapiro (IEEE Trans. Computational Imaging, 2015)

Removing Camera Shake via Weighted Fourier Burst Accumulation. - Mauricio Delbracio; Guillermo Sapiro (IEEE Trans. Image Process., 2015)

Deep Video Deblurring. - Shuochen Su; Mauricio Delbracio; Jue Wang 001; Guillermo Sapiro; Wolfgang Heidrich; Oliver Wang (CoRR, 2016)

Computing an Exact Gaussian Scale-Space. - Ives Rey-Otero; Mauricio Delbracio (Image Process. Line, 2016)

An Analysis of the Factors Affecting Keypoint Stability in Scale-Space. - Ives Rey-Otero; Jean-Michel Morel; Mauricio Delbracio (J. Math. Imaging Vis., 2016)

Fundamental Limits in Multi-Image Alignment. - Cecilia Aguerrebere; Mauricio Delbracio; Alberto Bartesaghi; Guillermo Sapiro (IEEE Trans. Signal Process., 2016)

Deep Video Deblurring for Hand-Held Cameras. - Shuochen Su; Mauricio Delbracio; Jue Wang 001; Guillermo Sapiro; Wolfgang Heidrich; Oliver Wang (CVPR, 2017)

A Practical Guide to Multi-Image Alignment. - Cecilia Aguerrebere; Mauricio Delbracio; Alberto Bartesaghi; Guillermo Sapiro (ICASSP, 2018)

Modeling Realistic Degradations in Non-Blind Deconvolution. - Jérémy Anger; Gabriele Facciolo; Mauricio Delbracio (ICIP, 2018)

Reducing Anomaly Detection in Images to Detection in Noise. - Axel Davy; Thibaud Ehret; Jean-Michel Morel; Mauricio Delbracio (ICIP, 2018)

Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method. - Jérémy Anger; Gabriele Facciolo; Mauricio Delbracio (Image Process. Line, 2018)

Efficient blind deblurring under high noise levels. - Jérémy Anger; Mauricio Delbracio; Gabriele Facciolo (ISPA, 2019)

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior. - Mario González 002; Andrés Almansa; Mauricio Delbracio; Pablo Musé; Pauline Tan (CoRR, 2019)

Blind Image Deblurring using the l0 Gradient Prior. - Jérémy Anger; Gabriele Facciolo; Mauricio Delbracio (Image Process. Line, 2019)

How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise. - Thibaud Ehret; Axel Davy; Mauricio Delbracio; Jean-Michel Morel (Image Process. Line, 2019)

Image Anomalies: A Review and Synthesis of Detection Methods. - Thibaud Ehret; Axel Davy; Jean-Michel Morel; Mauricio Delbracio (J. Math. Imaging Vis., 2019)

Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. - J. Matías Di Martino; Fernando Suzacq; Mauricio Delbracio; Qiang Qiu 001; Guillermo Sapiro (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Projected Distribution Loss for Image Enhancement. - Mauricio Delbracio; Hossein Talebi; Peyman Milanfar (ICCP, 2021)

Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data. - Abdullah Abuolaim; Mauricio Delbracio; Damien Kelly; Michael S. Brown; Peyman Milanfar (ICCV, 2021)

Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. - Guillermo Carbajal; Patricia Vitoria; Mauricio Delbracio; Pablo Musé; José Lezama (CoRR, 2021)

Mobile Computational Photography: A Tour. - Mauricio Delbracio; Damien Kelly; Michael S. Brown; Peyman Milanfar (CoRR, 2021)

Removing Pixel Noises and Spatial Artifacts with Generative Diversity Denoising Methods. - Mangal Prakash; Mauricio Delbracio; Peyman Milanfar; Florian Jug (CoRR, 2021)

Polyblur: Removing Mild Blur by Polynomial Reblurring. - Mauricio Delbracio; Ignacio Garcia-Dorado; Sungjoon Choi; Damien Kelly; Peyman Milanfar (IEEE Trans. Computational Imaging, 2021)

Deblurring via Stochastic Refinement. - Jay Whang; Mauricio Delbracio; Hossein Talebi; Chitwan Saharia; Alexandros G. Dimakis; Peyman Milanfar (CVPR, 2022)

Interpretable Unsupervised Diversity Denoising and Artefact Removal. - Mangal Prakash; Mauricio Delbracio; Peyman Milanfar; Florian Jug (ICLR, 2022)

Image Deblurring with Domain Generalizable Diffusion Models. - Mengwei Ren; Mauricio Delbracio; Hossein Talebi; Guido Gerig; Peyman Milanfar (CoRR, 2022)

Multiscale Structure Guided Diffusion for Image Deblurring. - Mengwei Ren; Mauricio Delbracio; Hossein Talebi; Guido Gerig; Peyman Milanfar (ICCV, 2023)

Conditional Diffusion Distillation. - Kangfu Mei; Mauricio Delbracio; Hossein Talebi; Zhengzhong Tu; Vishal M. Patel; Peyman Milanfar (CoRR, 2023)

TIP: Text-Driven Image Processing with Semantic and Restoration Instructions. - Chenyang Qi; Zhengzhong Tu; Keren Ye; Mauricio Delbracio; Peyman Milanfar; Qifeng Chen; Hossein Talebi (CoRR, 2023)

Soft Diffusion: Score Matching with General Corruptions. - Giannis Daras; Mauricio Delbracio; Hossein Talebi; Alex Dimakis; Peyman Milanfar (Trans. Mach. Learn. Res., 2023)

Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration. - Mauricio Delbracio; Peyman Milanfar (Trans. Mach. Learn. Res., 2023)

CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation. - Kangfu Mei; Mauricio Delbracio; Hossein Talebi; Zhengzhong Tu; Vishal M. Patel; Peyman Milanfar (CVPR, 2024)

SPIRE: Semantic Prompt-Driven Image Restoration. - Chenyang Qi; Zhengzhong Tu; Keren Ye; Mauricio Delbracio; Peyman Milanfar; Qifeng Chen; Hossein Talebi (ECCV (40), 2024)

A Restoration Network as an Implicit Prior. - Yuyang Hu; Mauricio Delbracio; Peyman Milanfar; Ulugbek Kamilov (ICLR, 2024)

Prompt-tuning Latent Diffusion Models for Inverse Problems. - Hyungjin Chung; Jong Chul Ye; Peyman Milanfar; Mauricio Delbracio (ICML, 2024)

Denoising: A Powerful Building-Block for Imaging, Inverse Problems, and Machine Learning. - Peyman Milanfar; Mauricio Delbracio (CoRR, 2024)

A Survey on Diffusion Models for Inverse Problems. - Giannis Daras; Hyungjin Chung; Chieh-Hsin Lai; Yuki Mitsufuji; Jong Chul Ye; Peyman Milanfar; Alexandros G. Dimakis; Mauricio Delbracio (CoRR, 2024)

On the Relation Between Linear Diffusion and Power Iteration. - Dana Weitzner; Mauricio Delbracio; Peyman Milanfar; Raja Giryes (CoRR, 2024)

The Power of Context: How Multimodality Improves Image Super-Resolution. - Kangfu Mei; Hossein Talebi; Mojtaba Ardakani; Vishal M. Patel; Peyman Milanfar; Mauricio Delbracio (CVPR, 2025)

Bigger is not Always Better: Scaling Properties of Latent Diffusion Models. - Kangfu Mei; Zhengzhong Tu; Mauricio Delbracio; Hossein Talebi; Vishal M. Patel; Peyman Milanfar (Trans. Mach. Learn. Res., 2025)

Reference-Guided Identity Preserving Face Restoration. - Mo Zhou; Keren Ye; Viraj Shah; Kangfu Mei; Mauricio Delbracio; Peyman Milanfar; Vishal M. Patel; Hossein Talebi (CoRR, 2025)

TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance. - Keren Ye; Ignacio Garcia-Dorado; Michalis Raptis; Mauricio Delbracio; Irene Zhu; Peyman Milanfar; Hossein Talebi (CoRR, 2025)

UniRes: Universal Image Restoration for Complex Degradations. - Mo Zhou; Keren Ye; Mauricio Delbracio; Peyman Milanfar; Vishal M. Patel; Hossein Talebi (CoRR, 2025)

Kernel Density Steering: Inference-Time Scaling via Mode Seeking for Image Restoration. - Yuyang Hu; Kangfu Mei; Mojtaba Sahraee-Ardakan; Ulugbek S. Kamilov; Peyman Milanfar; Mauricio Delbracio (CoRR, 2025)