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Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

Depth-aware Blending of Smoothed Images for Bokeh Effect Generation

28 May 2020
S. Dutta
    MDE
ArXivPDFHTML

Papers citing "Depth-aware Blending of Smoothed Images for Bokeh Effect Generation"

21 / 21 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
100
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
83
0
0
20 Mar 2025
Depth image denoising using nuclear norm and learning graph model
Depth image denoising using nuclear norm and learning graph model
C. Yan
Zhisheng Li
Yongbing Zhang
Yutao Liu
Xiangyang Ji
Yongdong Zhang
62
230
0
09 Aug 2020
Rendering Natural Camera Bokeh Effect with Deep Learning
Rendering Natural Camera Bokeh Effect with Deep Learning
Andrey D. Ignatov
Jagruti Patel
Radu Timofte
55
73
0
10 Jun 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
496
42,449
0
03 Dec 2019
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
220
176
0
11 Jun 2018
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
MegaDepth: Learning Single-View Depth Prediction from Internet Photos
Zhengqi Li
Noah Snavely
MDE
3DV
104
1,018
0
02 Apr 2018
Single View Stereo Matching
Single View Stereo Matching
Yue Luo
Jimmy S. J. Ren
Mude Lin
Jiahao Pang
Wenxiu Sun
Hongsheng Li
Liang Lin
MDE
3DV
41
194
0
07 Mar 2018
Frame-Recurrent Video Super-Resolution
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi
Raviteja Vemulapalli
Matthew A. Brown
SupR
46
508
0
14 Jan 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
377
11,795
0
11 Jan 2018
Learning Affinity via Spatial Propagation Networks
Learning Affinity via Spatial Propagation Networks
Sifei Liu
Shalini De Mello
Liang Feng
Guangyu Zhong
Ming-Hsuan Yang
Jan Kautz
71
285
0
03 Oct 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
173
5,908
0
10 Jul 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
79
503
0
22 Mar 2017
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
242
10,693
0
15 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
142
2,885
0
13 Sep 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
741
37,862
0
20 May 2016
Single-Image Depth Perception in the Wild
Single-Image Depth Perception in the Wild
Weifeng Chen
Z. Fu
Dawei Yang
Jia Deng
MDE
100
520
0
13 Apr 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
64
2,646
0
07 Dec 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
77,196
0
18 May 2015
Conditional Random Fields as Recurrent Neural Networks
Conditional Random Fields as Recurrent Neural Networks
Shuai Zheng
Sadeep Jayasumana
Bernardino Romera-Paredes
Vibhav Vineet
Zhizhong Su
Dalong Du
Chang Huang
Philip Torr
SSeg
241
2,536
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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