Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image

20 August 2019

Papers citing "Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image"

6 / 6 papers shown

Title
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams Nissim Maruani Roman Klokov M. Ovsjanikov Pierre Alliez Mathieu Desbrun 3DV 30 17 0 28 Aug 2023
Generative-Contrastive Learning for Self-Supervised Latent Representations of 3D Shapes from Multi-Modal Euclidean Input Chengzhi Wu Julius Pfrommer Mingyuan Zhou Jürgen Beyerer SSL 25 5 0 11 Jan 2023
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 26 107 0 20 Jul 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 260 1,811 0 25 Nov 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 261 3,240 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 189 1,941 0 24 Oct 2016