ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1607.07988
  4. Cited By
ATGV-Net: Accurate Depth Super-Resolution

ATGV-Net: Accurate Depth Super-Resolution

27 July 2016
Gernot Riegler
M. Rüther
Horst Bischof
    MDE
    SupR
ArXivPDFHTML

Papers citing "ATGV-Net: Accurate Depth Super-Resolution"

27 / 27 papers shown
Title
DuCos: Duality Constrained Depth Super-Resolution via Foundation Model
Zhiqiang Yan
Zhengxue Wang
Haoye Dong
Jun Yu Li
Jian Yang
Gim Hee Lee
72
0
0
06 Mar 2025
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
206
0
0
03 Jan 2025
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse
  Volume Rendering
SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering
Mohammed Brahimi
Bjoern Haefner
Tarun Yenamandra
Bastian Goldluecke
Daniel Cremers
SupR
MDE
41
6
0
09 Dec 2022
Is Differentiable Architecture Search truly a One-Shot Method?
Is Differentiable Architecture Search truly a One-Shot Method?
Jonas Geiping
Jovita Lukasik
M. Keuper
Michael Moeller
25
0
0
12 Aug 2021
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
47
0
27 Jul 2021
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Zixiang Zhao
Jiangshe Zhang
Shuang Xu
Chunxia Zhang
Junmin Liu
42
92
0
14 Apr 2021
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon
S. Koppal
MDE
30
5
0
24 Mar 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
44
0
24 Mar 2021
A Comprehensive Review of Deep Learning-based Single Image
  Super-resolution
A Comprehensive Review of Deep Learning-based Single Image Super-resolution
S. M. A. Bashir
Yi Wang
Mahrukh Khan
Yilong Niu
SupR
AI4Cl
40
112
0
18 Feb 2021
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and
  Sparse Sensor Data
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
A. L. Rodríguez
Benjamin Busam
K. Mikolajczyk
39
44
0
03 Aug 2020
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution
Marcel C. Bühler
Andrés Romero
Radu Timofte
SupR
38
32
0
09 Apr 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Patrick Knöbelreiter
Christian Sormann
Alexander Shekhovtsov
Friedrich Fraundorfer
Thomas Pock
36
22
0
13 Mar 2020
Learned Multi-View Texture Super-Resolution
Learned Multi-View Texture Super-Resolution
Audrey Richard
Ian Cherabier
Martin R. Oswald
Vagia Tsiminaki
Marc Pollefeys
Konrad Schindler
SupR
21
16
0
14 Jan 2020
Learning Geometrically Consistent Mesh Corrections
Learning Geometrically Consistent Mesh Corrections
Stefan Saftescu
Paul Newman
3DV
21
1
0
08 Sep 2019
Indoor Depth Completion with Boundary Consistency and Self-Attention
Indoor Depth Completion with Boundary Consistency and Self-Attention
Yu-Kai Huang
Tsung-Han Wu
Yueh-Cheng Liu
Winston H. Hsu
3DPC
MDE
17
72
0
22 Aug 2019
Deep Learning for Image Super-resolution: A Survey
Deep Learning for Image Super-resolution: A Survey
Zhihao Wang
Jian Chen
Guosheng Lin
SupR
24
1,419
0
16 Feb 2019
Taking a Deeper Look at the Inverse Compositional Algorithm
Taking a Deeper Look at the Inverse Compositional Algorithm
Zhaoyang Lv
F. Dellaert
James M. Rehg
Andreas Geiger
3DV
19
48
0
17 Dec 2018
Learning Energy Based Inpainting for Optical Flow
Learning Energy Based Inpainting for Optical Flow
Christoph Vogel
Huijuan Cao
Thomas Pock
3DPC
32
5
0
09 Nov 2018
Learning Depth with Convolutional Spatial Propagation Network
Learning Depth with Convolutional Spatial Propagation Network
Xinjing Cheng
Peng Wang
Ruigang Yang
3DV
3DPC
MDE
52
311
0
04 Oct 2018
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis
Deeply Supervised Depth Map Super-Resolution as Novel View Synthesis
Xibin Song
Yuchao Dai
Xueying Qin
3DV
SupR
27
46
0
27 Aug 2018
Depth Estimation via Affinity Learned with Convolutional Spatial
  Propagation Network
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation Network
Xinjing Cheng
Peng Wang
Ruigang Yang
MDE
38
319
0
01 Aug 2018
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Deep Convolutional Compressed Sensing for LiDAR Depth Completion
Nathaniel Chodosh
Chaoyang Wang
Simon Lucey
3DPC
3DV
33
127
0
23 Mar 2018
Sparsity Invariant CNNs
Sparsity Invariant CNNs
J. Uhrig
N. Schneider
Lukas Schneider
Uwe Franke
Thomas Brox
Andreas Geiger
56
824
0
22 Aug 2017
Deeply Aggregated Alternating Minimization for Image Restoration
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim
Hyungjoo Jung
Dongbo Min
Kwanghoon Sohn
18
30
0
20 Dec 2016
Learning Fully Convolutional Networks for Iterative Non-blind
  Deconvolution
Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution
Jiawei Zhang
Jin-shan Pan
Wei-Sheng Lai
Rynson W. H. Lau
Ming-Hsuan Yang
43
161
0
20 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
15
2,103
0
11 Nov 2016
A Deep Primal-Dual Network for Guided Depth Super-Resolution
A Deep Primal-Dual Network for Guided Depth Super-Resolution
Gernot Riegler
David Ferstl
M. Rüther
Horst Bischof
SupR
MDE
25
89
0
28 Jul 2016
1