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Deformable kernel networks for guided depth map upsampling

Deformable kernel networks for guided depth map upsampling

27 March 2019
Beomjun Kim
Jean Ponce
Bumsub Ham
ArXivPDFHTML

Papers citing "Deformable kernel networks for guided depth map upsampling"

5 / 5 papers shown
Title
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution
Athanasios Tragakis
Chaitanya Kaul
Kevin J. Mitchell
H. Dai
R. Murray-Smith
Daniele Faccio
MDE
229
0
0
03 Jan 2025
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and
  Monocular Depth Estimation
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
Q. Tang
Runmin Cong
Ronghui Sheng
Lingzhi He
Dan Zhang
Yao-Min Zhao
Sam Kwong
3DV
MDE
31
48
0
27 Jul 2021
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for
  Single Depth Super-Resolution
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution
Baoli Sun
Xinchen Ye
Baopu Li
Haojie Li
Zhihui Wang
Rui Xu
11
45
0
24 Mar 2021
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
234
5,181
0
16 Sep 2016
The Fast Bilateral Solver
The Fast Bilateral Solver
Jonathan T. Barron
Ben Poole
186
371
0
10 Nov 2015
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