AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations

22 October 2021

Papers citing "AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations"

10 / 10 papers shown

Title
Analysis of Sampling Strategies for Implicit 3D Reconstruction Qiang Liu Xi Yang 3DPC 25 0 0 08 Apr 2023
3D Neural Field Generation using Triplane Diffusion J. Shue E. R. Chan Ryan Po Zachary Ankner Jiajun Wu Gordon Wetzstein DiffM 22 232 0 30 Nov 2022
Surface Reconstruction from Point Clouds: A Survey and a Benchmark Zhangjin Huang Yuxin Wen Zihao Wang Jinjuan Ren K. Jia 3DV 3DPC 19 58 0 05 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 186 1,242 0 22 Jul 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 214 558 0 19 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 89 127 0 11 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 2020
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 14,087 0 02 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 234 1,811 0 25 Nov 2016