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Self-supervised Learning of Implicit Shape Representation with Dense
  Correspondence for Deformable Objects

Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

24 August 2023
Baowen Zhang
Jiahe Li
Xiaoming Deng
Yinda Zhang
Cuixia Ma
Hongan Wang
    3DH
ArXivPDFHTML

Papers citing "Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects"

3 / 3 papers shown
Title
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
NAISR: A 3D Neural Additive Model for Interpretable Shape Representation
Yining Jiao
C. Zdanski
Julia Kimbell
Andrew Prince
Cameron P Worden
...
Christopher Rutter
Benjamin Shields
William Dunn
Jisan Mahmud
Marc Niethammer
34
3
0
16 Mar 2023
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
87
132
0
23 Oct 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
1