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Detail-revealing Deep Video Super-resolution

Detail-revealing Deep Video Super-resolution

10 April 2017
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
    SupR
ArXivPDFHTML

Papers citing "Detail-revealing Deep Video Super-resolution"

9 / 59 papers shown
Title
Single-frame Regularization for Temporally Stable CNNs
Single-frame Regularization for Temporally Stable CNNs
Gabriel Eilertsen
Rafał K. Mantiuk
Jonas Unger
11
43
0
27 Feb 2019
Advanced Super-Resolution using Lossless Pooling Convolutional Networks
Advanced Super-Resolution using Lossless Pooling Convolutional Networks
Farzad Toutounchi
E. Izquierdo
SupR
14
5
0
14 Dec 2018
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
TDAN: Temporally Deformable Alignment Network for Video Super-Resolution
Yapeng Tian
Yulun Zhang
Y. Fu
Chenliang Xu
SupR
11
520
0
07 Dec 2018
MGANet: A Robust Model for Quality Enhancement of Compressed Video
MGANet: A Robust Model for Quality Enhancement of Compressed Video
Xiandong Meng
Xuan Deng
Shuyuan Zhu
Shuaicheng Liu
Chuan Wang
Chen Chen
B. Zeng
GAN
11
19
0
22 Nov 2018
Embedded deep learning in ophthalmology: Making ophthalmic imaging
  smarter
Embedded deep learning in ophthalmology: Making ophthalmic imaging smarter
Petteri Teikari
Raymond P. Najjar
L. Schmetterer
D. Milea
MedIm
11
27
0
13 Oct 2018
Learning for Video Super-Resolution through HR Optical Flow Estimation
Learning for Video Super-Resolution through HR Optical Flow Estimation
Longguang Wang
Yulan Guo
Zaiping Lin
Xinpu Deng
W. An
SupR
18
94
0
23 Sep 2018
Burst Denoising with Kernel Prediction Networks
Burst Denoising with Kernel Prediction Networks
B. Mildenhall
Jonathan T. Barron
Jiawen Chen
Dillon Sharlet
Ren Ng
Robert E. Carroll
21
390
0
06 Dec 2017
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
190
5,173
0
16 Sep 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
227
7,903
0
13 Jun 2015
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