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Deep Deformable Models: Learning 3D Shape Abstractions with Part
  Consistency

Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency

2 September 2023
Ding Liu
Long Zhao
Qilong Zhangli
Yunhe Gao
Ting Liu
Dimitris N. Metaxas
    3DV
ArXivPDFHTML

Papers citing "Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency"

3 / 3 papers shown
Title
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation
  with Transformers
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers
Ding Liu
Yunhe Gao
Qilong Zhangli
Ligong Han
Xiaoxiao He
...
Song Wen
Qi Chang
Zhennan Yan
Mu Zhou
Dimitris N. Metaxas
MedIm
45
33
0
21 Mar 2022
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
45
36
0
23 Oct 2020
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
180
1,940
0
24 Oct 2016
1