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PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

28 September 2021
Prune Truong
Martin Danelljan
Radu Timofte
Luc Van Gool
ArXivPDFHTML

Papers citing "PDC-Net+: Enhanced Probabilistic Dense Correspondence Network"

20 / 20 papers shown
Title
BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation
BridgeIV: Bridging Customized Image and Video Generation through Test-Time Autoregressive Identity Propagation
Panwen Hu
Jiehui Huang
Qiang Sun
Xiaodan Liang
DiffM
VGen
28
0
0
11 May 2025
CodingHomo: Bootstrapping Deep Homography With Video Coding
CodingHomo: Bootstrapping Deep Homography With Video Coding
Yike Liu
Haipeng Li
Shuaicheng Liu
B. Zeng
59
2
0
16 Apr 2025
Learning Affine Correspondences by Integrating Geometric Constraints
Learning Affine Correspondences by Integrating Geometric Constraints
Pengju Sun
Banglei Guan
Zhenbao Yu
Yang Shang
Qifeng Yu
Dániel Baráth
24
1
0
07 Apr 2025
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
ETO:Efficient Transformer-based Local Feature Matching by Organizing Multiple Homography Hypotheses
Junjie Ni
Guofeng Zhang
Guanglin Li
Yijin Li
Xinyang Liu
Zhaoyang Huang
Hujun Bao
ViT
63
2
0
30 Oct 2024
Towards Generalizable Scene Change Detection
Towards Generalizable Scene Change Detection
Jaewoo Kim
Uehwan Kim
48
0
0
10 Sep 2024
Revisit Self-supervised Depth Estimation with Local
  Structure-from-Motion
Revisit Self-supervised Depth Estimation with Local Structure-from-Motion
Shengjie Zhu
Xiaoming Liu
MDE
44
1
0
27 Jul 2024
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware
  Hypergraph Diffusion
Accurate and Fast Pixel Retrieval with Spatial and Uncertainty Aware Hypergraph Diffusion
G. An
Yuchi Huo
Sung-eui Yoon
50
0
0
17 Jun 2024
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
Hanwen Jiang
Arjun Karpur
Bingyi Cao
Qixing Huang
André Araujo
VLM
36
29
0
21 May 2024
Unifying Feature and Cost Aggregation with Transformers for Semantic and
  Visual Correspondence
Unifying Feature and Cost Aggregation with Transformers for Semantic and Visual Correspondence
Sung‐Jin Hong
Seokju Cho
Seungryong Kim
Stephen Lin
ViT
51
5
0
17 Mar 2024
N-QR: Natural Quick Response Codes for Multi-Robot Instance
  Correspondence
N-QR: Natural Quick Response Codes for Multi-Robot Instance Correspondence
Nathan Glaser
Rajashree Ravi
Z. Kira
30
0
0
09 Mar 2024
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature
  Matching
TopicFM+: Boosting Accuracy and Efficiency of Topic-Assisted Feature Matching
Khang Truong Giang
Soohwan Song
Sung-Guk Jo
24
3
0
02 Jul 2023
RoMa: Robust Dense Feature Matching
RoMa: Robust Dense Feature Matching
Johan Edstedt
Qiyu Sun
Georg Bökman
Maarten Wadenback
M. Felsberg
3DV
31
91
0
24 May 2023
SIDAR: Synthetic Image Dataset for Alignment & Restoration
SIDAR: Synthetic Image Dataset for Alignment & Restoration
Monika Kwiatkowski
Simon Matern
Olaf Hellwich
28
3
0
19 May 2023
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
PMatch: Paired Masked Image Modeling for Dense Geometric Matching
Shengjie Zhu
Xiaoming Liu
30
22
0
30 Mar 2023
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature
  Matching
OAMatcher: An Overlapping Areas-based Network for Accurate Local Feature Matching
Kun Dai
Tao Xie
K. Wang
Zhiqiang Jiang
Ruifeng Li
Lijun Zhao
22
14
0
12 Feb 2023
SPARF: Neural Radiance Fields from Sparse and Noisy Poses
SPARF: Neural Radiance Fields from Sparse and Noisy Poses
Prune Truong
Marie-Julie Rakotosaona
Fabian Manhardt
F. Tombari
3DH
16
175
0
21 Nov 2022
Composed Image Retrieval with Text Feedback via Multi-grained
  Uncertainty Regularization
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization
Yiyang Chen
Zhedong Zheng
Wei Ji
Leigang Qu
Tat-Seng Chua
26
37
0
14 Nov 2022
Learning Accurate Dense Correspondences and When to Trust Them
Learning Accurate Dense Correspondences and When to Trust Them
Prune Truong
Martin Danelljan
Luc Van Gool
Radu Timofte
3DH
3DPC
70
128
0
05 Jan 2021
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,828
0
18 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1