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Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel
  Data

Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data

6 December 2020
Abdullah Abuolaim
M. Delbracio
D. Kelly
M. S. Brown
P. Milanfar
ArXivPDFHTML

Papers citing "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data"

24 / 24 papers shown
Title
Dual-Camera All-in-Focus Neural Radiance Fields
Dual-Camera All-in-Focus Neural Radiance Fields
Xianrui Luo
Zijin Wu
Juewen Peng
Huiqiang Sun
Zhiguo Cao
Guosheng Lin
VGen
92
0
0
23 Apr 2025
Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures
Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures
Tim Seizinger
Florin-Alexandru Vasluianu
Marcos V. Conde
Zongwei Wu
Radu Timofte
77
0
0
20 Mar 2025
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Junyong Lee
Hyeongseok Son
Jaesung Rim
Sunghyun Cho
Seungyong Lee
57
123
0
31 Aug 2021
Attention! Stay Focus!
Attention! Stay Focus!
T. Vo
SupR
28
7
0
16 Apr 2021
Dual Pixel Exploration: Simultaneous Depth Estimation and Image
  Restoration
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration
Liyuan Pan
S. Chowdhury
Leonid Sigal
Miaomiao Liu
Hongguang Zhang
Hongdong Li
3DV
3DH
MDE
69
42
0
01 Dec 2020
Focus on defocus: bridging the synthetic to real domain gap for depth
  estimation
Focus on defocus: bridging the synthetic to real domain gap for depth estimation
Maxim Maximov
Kevin Galim
Laura Leal-Taixé
MDE
87
63
0
19 May 2020
Defocus Deblurring Using Dual-Pixel Data
Defocus Deblurring Using Dual-Pixel Data
Abdullah Abuolaim
M. S. Brown
102
188
0
01 May 2020
Du$^2$Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Du2^22Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels
Yinda Zhang
Neal Wadhwa
Sergio Orts
Christian Häne
S. Fanello
Rahul Garg
MDE
3DV
121
36
0
31 Mar 2020
Single Image Super Resolution based on a Modified U-net with Mixed
  Gradient Loss
Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss
Zhengyang Lu
Ying-Cong Chen
SupR
55
81
0
21 Nov 2019
Deep Video Deblurring: The Devil is in the Details
Deep Video Deblurring: The Devil is in the Details
Jochen Gast
Stefan Roth
47
25
0
26 Sep 2019
Learning Single Camera Depth Estimation using Dual-Pixels
Learning Single Camera Depth Estimation using Dual-Pixels
Rahul Garg
Neal Wadhwa
S. Ansari
Jonathan T. Barron
MDE
51
110
0
11 Apr 2019
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
65
207
0
20 Aug 2018
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Neal Wadhwa
Rahul Garg
David E. Jacobs
Bryan E. Feldman
Nori Kanazawa
Robert E. Carroll
Yair Movshovitz-Attias
Jonathan T. Barron
Yael Pritch
M. Levoy
3DH
MDE
213
176
0
11 Jun 2018
Scale-recurrent Network for Deep Image Deblurring
Scale-recurrent Network for Deep Image Deblurring
Xin Tao
Hongyun Gao
Yi Wang
Xiaoyong Shen
Jue Wang
Jiaya Jia
SupR
86
1,102
0
06 Feb 2018
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Revisiting Video Saliency: A Large-scale Benchmark and a New Model
Wenguan Wang
Jianbing Shen
Fang Guo
Ming-Ming Cheng
Ali Borji
VLM
50
264
0
23 Jan 2018
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Learning to Synthesize a 4D RGBD Light Field from a Single Image
Pratul P. Srinivasan
Tongzhou Wang
Ashwin Sreelal
R. Ramamoorthi
Ren Ng
3DV
57
238
0
10 Aug 2017
Slanted Stixels: Representing San Francisco's Steepest Streets
Slanted Stixels: Representing San Francisco's Steepest Streets
D. Juárez
Lukas Schneider
Antonio Espinosa
David Vázquez
Antonio M. López
Uwe Franke
Marc Pollefeys
Juan C. Moure
3DV
50
58
0
17 Jul 2017
A Unified Approach of Multi-scale Deep and Hand-crafted Features for
  Defocus Estimation
A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation
Jinsun Park
Yu-Wing Tai
Donghyeon Cho
In So Kweon
3DV
46
116
0
28 Apr 2017
Deep Depth From Focus
Deep Depth From Focus
C. Hazirbas
Sebastian Georg Soyer
Maximilian Christian Staab
Laura Leal-Taixé
Daniel Cremers
3DV
51
84
0
04 Apr 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
101
1,801
0
22 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
548
7,985
0
13 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
315
18,609
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
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