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Context-Aware Image Matting for Simultaneous Foreground and Alpha
  Estimation

Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation

20 September 2019
Qiqi Hou
Feng Liu
ArXivPDFHTML

Papers citing "Context-Aware Image Matting for Simultaneous Foreground and Alpha Estimation"

21 / 21 papers shown
Title
$F$, $B$, Alpha Matting
FFF, BBB, Alpha Matting
Marco Forte
François Pitié
99
85
0
17 Mar 2020
AlphaGAN: Generative adversarial networks for natural image matting
AlphaGAN: Generative adversarial networks for natural image matting
Sebastian Lutz
Konstantinos Amplianitis
A. Smolic
GAN
40
147
0
26 Jul 2018
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Minyoung Huh
Andrew Liu
Andrew Owens
Alexei A. Efros
SSL
84
385
0
10 May 2018
Context-aware Synthesis for Video Frame Interpolation
Context-aware Synthesis for Video Frame Interpolation
Simon Niklaus
Feng Liu
84
410
0
29 Mar 2018
TOM-Net: Learning Transparent Object Matting from a Single Image
TOM-Net: Learning Transparent Object Matting from a Single Image
Guanying Chen
Kai Han
Kwan-Yee K. Wong
51
81
0
13 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
430
13,121
0
07 Feb 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
173
19,262
0
13 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
350
11,784
0
11 Jan 2018
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
121
811
0
16 Nov 2017
NIMA: Neural Image Assessment
NIMA: Neural Image Assessment
Hossein Talebi
P. Milanfar
3DH
65
900
0
15 Sep 2017
Video Frame Interpolation via Adaptive Separable Convolution
Video Frame Interpolation via Adaptive Separable Convolution
Simon Niklaus
Long Mai
Feng Liu
99
700
0
05 Aug 2017
Information-Flow Matting
Information-Flow Matting
Yagiz Aksoy
T. Aydin
Marc Pollefeys
50
2
0
17 Jul 2017
Deep Image Matting
Deep Image Matting
N. Xu
Brian L. Price
Scott D. Cohen
Thomas Huang
56
451
0
10 Mar 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture
  Synthesis
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis
Mehdi S. M. Sajjadi
Bernhard Schölkopf
M. Hirsch
SupR
68
971
0
23 Dec 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,555
0
07 Oct 2016
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
240
10,686
0
15 Sep 2016
Generative Visual Manipulation on the Natural Image Manifold
Generative Visual Manipulation on the Natural Image Manifold
Jun-Yan Zhu
Philipp Krahenbuhl
Eli Shechtman
Alexei A. Efros
GAN
71
1,396
0
12 Sep 2016
Generating Images with Perceptual Similarity Metrics based on Deep
  Networks
Generating Images with Perceptual Similarity Metrics based on Deep Networks
Alexey Dosovitskiy
Thomas Brox
DRL
GAN
89
1,140
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
398
43,619
0
01 May 2014
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