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Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and
  Deformable Reconstruction from a Single Image

Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image

19 November 2018
D. Fuentes-Jiménez
D. Casillas-Pérez
Daniel Pizarro-Pérez
Toby Collins
Adrien Bartoli
    3DV
    3DH
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Papers citing "Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image"

3 / 3 papers shown
Title
DensePose: Dense Human Pose Estimation In The Wild
DensePose: Dense Human Pose Estimation In The Wild
R. Güler
Natalia Neverova
Iasonas Kokkinos
3DH
202
1,386
0
01 Feb 2018
Template-based Monocular 3D Shape Recovery using Laplacian Meshes
Template-based Monocular 3D Shape Recovery using Laplacian Meshes
Dat Tien Ngo
Jonas Östlund
Pascal Fua
3DH
3DV
34
57
0
16 Mar 2015
Designing Deep Networks for Surface Normal Estimation
Designing Deep Networks for Surface Normal Estimation
Xinyu Wang
David Fouhey
Abhinav Gupta
3DV
SSL
167
353
0
18 Nov 2014
1