Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces

26 November 2020

Papers citing "Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces"

8 / 108 papers shown

Title
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching Chao Chen Zhizhong Han Yu-Shen Liu Matthias Zwicker 3DPC 12 38 0 08 Aug 2021
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views Zhizhong Han Xiyang Wang Yu-Shen Liu Matthias Zwicker 86 7 0 08 Aug 2021
Deep Medial Fields Daniel Rebain Ke Li Vincent Sitzmann S. Yazdani K. M. Yi Andrea Tagliasacchi 6 16 0 07 Jun 2021
ShaRF: Shape-conditioned Radiance Fields from a Single View Konstantinos Rematas Ricardo Martín Brualla V. Ferrari 42 110 0 17 Feb 2021
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization Xinhai Liu Xinchen Liu Yu-Shen Liu Zhizhong Han 3DPC 16 43 0 08 Dec 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 214 509 0 19 Mar 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates Zhizhong Han Guanhui Qiao Yu-Shen Liu Matthias Zwicker 3DPC 3DV 29 31 0 12 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 209 860 0 10 Mar 2020