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NICP: Neural ICP for 3D Human Registration at Scale

NICP: Neural ICP for 3D Human Registration at Scale

21 December 2023
R. Marin
Enric Corona
Gerard Pons-Moll
    3DH
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Papers citing "NICP: Neural ICP for 3D Human Registration at Scale"

4 / 4 papers shown
Title
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Denoising Functional Maps: Diffusion Models for Shape Correspondence
Aleksei Zhuravlev
Zorah Lähner
Vladislav Golyanik
DiffM
65
1
0
03 Mar 2025
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for
  3D Point Clouds
CorrNet3D: Unsupervised End-to-end Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng
Y. Qian
Zhiyu Zhu
Junhui Hou
Hui Yuan
Ying He
3DPC
100
65
0
31 Dec 2020
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
84
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
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