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3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset

3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset

19 April 2023
Yangming Li
    3DV
    3DH
ArXivPDFHTML

Papers citing "3 Dimensional Dense Reconstruction: A Review of Algorithms and Dataset"

4 / 4 papers shown
Title
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
M. Allan
J. Mcleod
Congcong Wang
Jean-Claude Rosenthal
Zheng Hu
...
Dimitris Psychogyios
M. Azizian
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel
3DV
48
135
0
04 Jan 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
168
1,940
0
24 Oct 2016
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