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"

11 / 11 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 36 232 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
Neural Fields in Visual Computing and Beyond Yiheng Xie Towaki Takikawa Shunsuke Saito Or Litany Shiqin Yan Numair Khan Federico Tombari James Tompkin Vincent Sitzmann Srinath Sridhar 3DH 19 613 0 22 Nov 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 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 100 127 0 11 Mar 2020
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 971 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 236 1,811 0 25 Nov 2016