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ChartPointFlow for Topology-Aware 3D Point Cloud Generation
v1v2 (latest)

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

ACM Multimedia (ACM MM), 2020
4 December 2020
Takumi Kimura
Takashi Matsubara
K. Uehara
    3DPC
ArXiv (abs)PDFHTML

Papers citing "ChartPointFlow for Topology-Aware 3D Point Cloud Generation"

4 / 4 papers shown
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows
ManiFlow: Implicitly Representing Manifolds with Normalizing FlowsInternational Conference on 3D Vision (3DV), 2022
Janis Postels
Martin Danelljan
Luc Van Gool
F. Tombari
TPM
557
6
0
18 Aug 2022
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation
Xin-Yang Zheng
Yang Liu
Peng-Shuai Wang
Xin Tong
225
117
0
24 Jun 2022
Universal approximation property of invertible neural networks
Universal approximation property of invertible neural networksJournal of machine learning research (JMLR), 2022
Isao Ishikawa
Takeshi Teshima
Koichi Tojo
Kenta Oono
Masahiro Ikeda
Masashi Sugiyama
309
40
0
15 Apr 2022
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud
  Generation and Reconstruction
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and ReconstructionInternational Conference on 3D Vision (3DV), 2021
Janis Postels
Mengya Liu
Riccardo Spezialetti
Luc Van Gool
Federico Tombari
AI4CE3DPC
231
22
0
06 Jun 2021
1
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