Deep Learning on Object-centric 3D Neural Fields

20 December 2023

Papers citing "Deep Learning on Object-centric 3D Neural Fields"

7 / 7 papers shown

Title
Connecting NeRFs, Images, and Text Francesco Ballerini Pierluigi Zama Ramirez Roberto Mirabella Samuele Salti Luigi Di Stefano 52 4 0 11 Apr 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 252 314 0 11 Sep 2022
From data to functa: Your data point is a function and you can treat it like one Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 178 139 0 28 Jan 2022
Variational Relational Point Completion Network Liang Pan Xinyi Chen Zhongang Cai Junzhe Zhang Haiyu Zhao Shuai Yi Ziwei Liu 3DPC 203 176 0 20 Apr 2021
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 240 558 0 19 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 14,103 0 02 Dec 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014