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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 Reconstruction

6 June 2021
Janis Postels
Mengya Liu
Riccardo Spezialetti
Luc Van Gool
Federico Tombari
    AI4CE
    3DPC
ArXivPDFHTML

Papers citing "Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction"

3 / 3 papers shown
Title
NF-SLAM: Effective, Normalizing Flow-supported Neural Field representations for object-level visual SLAM in automotive applications
Li Cui
Yang Ding
Richard Hartley
Zirui Xie
L. Kneip
Zhenghua Yu
41
0
0
14 Mar 2025
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
1