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Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes

1 February 2021
Keyang Zhou
Bharat Lal Bhatnagar
Bernt Schiele
Gerard Pons-Moll
    3DPC
ArXivPDFHTML

Papers citing "Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes"

4 / 4 papers shown
Title
LoopReg: Self-supervised Learning of Implicit Surface Correspondences,
  Pose and Shape for 3D Human Mesh Registration
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
Bharat Lal Bhatnagar
C. Sminchisescu
Christian Theobalt
Gerard Pons-Moll
3DH
92
132
0
23 Oct 2020
Learning Implicit Functions for Topology-Varying Dense 3D Shape
  Correspondence
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
Feng Liu
Xiaoming Liu
3DPC
35
36
0
23 Oct 2020
When Deep Learning Meets Data Alignment: A Review on Deep Registration
  Networks (DRNs)
When Deep Learning Meets Data Alignment: A Review on Deep Registration Networks (DRNs)
Victor Villena-Martinez
Sergiu Oprea
Marcelo Saval-Calvo
J. Azorín-López
Andrés Fuster-Guilló
Robert B. Fisher
34
32
0
06 Mar 2020
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
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