Deep Learning on Implicit Neural Representations of Shapes

Deep Learning on Implicit Neural Representations of Shapes

10 February 2023

Adriano Cardace

Riccardo Spezialetti

Pierluigi Zama Ramirez

Luigi Di Stefano

Papers citing "Deep Learning on Implicit Neural Representations of Shapes"

19 / 19 papers shown

Title
Boosting 3D Liver Shape Datasets with Diffusion Models and Implicit Neural Representations K. T. Nguyen Francesca Tozzi W. Willaert J. Vankerschaver Nikdokht Rashidian W. D. Neve DiffM MedIm 81 0 0 28 Apr 2025
A Model Zoo on Phase Transitions in Neural Networks Konstantin Schurholt Léo Meynent Yefan Zhou Haiquan Lu Yaoqing Yang Damian Borth 58 0 0 25 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 47 0 0 24 Apr 2025
Monomial Matrix Group Equivariant Neural Functional Networks Hoang V. Tran Thieu N. Vo Tho H. Tran An T. Nguyen Tan M. Nguyen 52 5 0 18 Sep 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 38 7 0 09 Jun 2024
Transport of Algebraic Structure to Latent Embeddings Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi 21 0 0 27 May 2024
Graph Metanetworks for Processing Diverse Neural Architectures Derek Lim Haggai Maron Marc T. Law Jonathan Lorraine James Lucas AI4CE 27 30 0 07 Dec 2023
In Search of a Data Transformation That Accelerates Neural Field Training Junwon Seo Sangyoon Lee Kwang In Kim Jaeho Lee 29 3 0 28 Nov 2023
Equivariant Architectures for Learning in Deep Weight Spaces Aviv Navon Aviv Shamsian Idan Achituve Ethan Fetaya Gal Chechik Haggai Maron 26 63 0 30 Jan 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries Samuel K. Ainsworth J. Hayase S. Srinivasa MoMe 239 312 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 165 139 0 28 Jan 2022
Variational Relational Point Completion Network Liang Pan Xinyi Chen Zhongang Cai Junzhe Zhang Haiyu Zhao Shuai Yi Ziwei Liu 3DPC 193 176 0 20 Apr 2021
Primal-Dual Mesh Convolutional Neural Networks Francesco Milano Antonio Loquercio Antoni Rosinol Davide Scaramuzza Luca Carlone 3DPC AI4CE 46 89 0 23 Oct 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
Convolutional Occupancy Networks Songyou Peng Michael Niemeyer L. Mescheder Marc Pollefeys Andreas Geiger 3DV AI4CE 212 968 0 10 Mar 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 766 0 30 Mar 2018
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 14,047 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 1,809 0 25 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 164 1,939 0 24 Oct 2016