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DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field
  for Unsupervised Structural Reconstruction of 3D Objects

DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects

25 August 2023
Qing Shuai
Chi Zhang
Kaizhi Yang
Xiao Chen
ArXivPDFHTML

Papers citing "DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects"

4 / 4 papers shown
Title
Unsupervised Learning for Cuboid Shape Abstraction via Joint
  Segmentation from Point Clouds
Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
Kaizhi Yang
Xuejin Chen
3DPC
52
57
0
07 Jun 2021
ShapeFlow: Learnable Deformations Among 3D Shapes
ShapeFlow: Learnable Deformations Among 3D Shapes
C. Jiang
Jingwei Huang
Andrea Tagliasacchi
Leonidas Guibas
3DPC
AI4CE
93
44
0
14 Jun 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from
  a Single RGB Image
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image
Despoina Paschalidou
Luc van Gool
Andreas Geiger
3DV
OCL
57
107
0
02 Apr 2020
Learning Shape Abstractions by Assembling Volumetric Primitives
Learning Shape Abstractions by Assembling Volumetric Primitives
Shubham Tulsiani
Hao Su
Leonidas Guibas
Alexei A. Efros
Jitendra Malik
78
358
0
01 Dec 2016
1