How to Train Neural Field Representations: A Comprehensive Study and
Benchmark

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How to Train Neural Field Representations: A Comprehensive Study and Benchmark

16 December 2023

Riccardo Valperga

David M. Knigge

Miltiadis Kofinas

Jan-Jakob Sonke

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Papers citing "How to Train Neural Field Representations: A Comprehensive Study and Benchmark"

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Title
End-to-End Implicit Neural Representations for Classification Alexander Gielisse Jan van Gemert 119 0 0 23 Mar 2025
ARC: Anchored Representation Clouds for High-Resolution INR Classification Joost Luijmes Alexander Gielisse Roman Knyazhitskiy Jan van Gemert 91 2 0 19 Mar 2025
On the Internal Representations of Graph Metanetworks Taesun Yeom Jaeho Lee GNN 97 0 0 12 Mar 2025
Geometric Neural Process Fields Wenzhe Yin Zehao Xiao Jiayi Shen Yunlu Chen Cees G. M. Snoek Jan-Jakob Sonke E. Gavves AI4CE 174 0 0 04 Feb 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization Taesun Yeom Sangyoon Lee Jaeho Lee 110 3 0 07 Oct 2024
Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics Shishira R. Maiya Anubhav Gupta M. Gwilliam Max Ehrlich Abhinav Shrivastava 77 3 1 05 Aug 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 133 10 0 09 Jun 2024