How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Fuente:
arXiv
Saved in:
| Main Authors: | Papa, Samuele, Valperga, Riccardo, Knigge, David, Kofinas, Miltiadis, Lippe, Phillip, Sonke, Jan-Jakob, Gavves, Efstratios |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024)
by: Wessels, David R, et al.
Published: (2024)
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
by: Knigge, David M., et al.
Published: (2024)
by: Knigge, David M., et al.
Published: (2024)
Amortized Equation Discovery in Hybrid Dynamical Systems
by: Liu, Yongtuo, et al.
Published: (2024)
by: Liu, Yongtuo, et al.
Published: (2024)
NARAIM: Native Aspect Ratio Autoregressive Image Models
by: Fernández, Daniel Gallo, et al.
Published: (2024)
by: Fernández, Daniel Gallo, et al.
Published: (2024)
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2023)
by: Kofinas, Miltiadis, et al.
Published: (2023)
Geometric Neural Process Fields
by: Yin, Wenzhe, et al.
Published: (2025)
by: Yin, Wenzhe, et al.
Published: (2025)
Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
by: Kofinas, Miltiadis, et al.
Published: (2021)
by: Kofinas, Miltiadis, et al.
Published: (2021)
Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
by: Liu, Jie, et al.
Published: (2025)
by: Liu, Jie, et al.
Published: (2025)
Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination
by: Barcellona, Leonardo, et al.
Published: (2024)
by: Barcellona, Leonardo, et al.
Published: (2024)
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
by: Moriakov, Nikita, et al.
Published: (2025)
by: Moriakov, Nikita, et al.
Published: (2025)
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
by: Egorov, Evgenii, et al.
Published: (2024)
by: Egorov, Evgenii, et al.
Published: (2024)
Physics-Guided Radiotherapy Treatment Planning with Deep Learning
by: Achlatis, Stefanos, et al.
Published: (2025)
by: Achlatis, Stefanos, et al.
Published: (2025)
CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
by: Liu, Jie, et al.
Published: (2024)
by: Liu, Jie, et al.
Published: (2024)
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)
by: Kofinas, Miltiadis, et al.
Published: (2024)
CTRL-O: Language-Controllable Object-Centric Visual Representation Learning
by: Didolkar, Aniket, et al.
Published: (2025)
by: Didolkar, Aniket, et al.
Published: (2025)
Dual Guidance Semi-Supervised Action Detection
by: Singh, Ankit, et al.
Published: (2025)
by: Singh, Ankit, et al.
Published: (2025)
Language Agents Meet Causality -- Bridging LLMs and Causal World Models
by: Gkountouras, John, et al.
Published: (2024)
by: Gkountouras, John, et al.
Published: (2024)
Any-Resolution AI-Generated Image Detection by Spectral Learning
by: Karageorgiou, Dimitrios, et al.
Published: (2024)
by: Karageorgiou, Dimitrios, et al.
Published: (2024)
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
by: Spartalis, Christoforos N., et al.
Published: (2025)
by: Spartalis, Christoforos N., et al.
Published: (2025)
Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI
by: Spartalis, Christoforos N., et al.
Published: (2025)
by: Spartalis, Christoforos N., et al.
Published: (2025)
Redefining Normal: A Novel Object-Level Approach for Multi-Object Novelty Detection
by: Salehi, Mohammadreza, et al.
Published: (2024)
by: Salehi, Mohammadreza, et al.
Published: (2024)
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations
by: Schirris, Yoni, et al.
Published: (2025)
by: Schirris, Yoni, et al.
Published: (2025)
Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
by: Moriakov, Nikita, et al.
Published: (2024)
by: Moriakov, Nikita, et al.
Published: (2024)
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
by: Yan, Cilin, et al.
Published: (2024)
by: Yan, Cilin, et al.
Published: (2024)
Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
by: Zhang, Chenyu, et al.
Published: (2025)
by: Zhang, Chenyu, et al.
Published: (2025)
Mesh Neural Networks for SE(3)-Equivariant Hemodynamics Estimation on the Artery Wall
by: Suk, Julian, et al.
Published: (2022)
by: Suk, Julian, et al.
Published: (2022)
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features
by: Sträter, Luc P. J., et al.
Published: (2024)
by: Sträter, Luc P. J., et al.
Published: (2024)
MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning
by: Salehi, Mohammadreza, et al.
Published: (2025)
by: Salehi, Mohammadreza, et al.
Published: (2025)
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
by: Mamaghan, Amir Mohammad Karimi, et al.
Published: (2024)
by: Mamaghan, Amir Mohammad Karimi, et al.
Published: (2024)
Deep Learning on Object-centric 3D Neural Fields
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
by: Ramirez, Pierluigi Zama, et al.
Published: (2023)
VISA: Reasoning Video Object Segmentation via Large Language Models
by: Yan, Cilin, et al.
Published: (2024)
by: Yan, Cilin, et al.
Published: (2024)
SIGMA: Sinkhorn-Guided Masked Video Modeling
by: Salehi, Mohammadreza, et al.
Published: (2024)
by: Salehi, Mohammadreza, et al.
Published: (2024)
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
by: Yan, Cilin, et al.
Published: (2023)
by: Yan, Cilin, et al.
Published: (2023)
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
by: Yiasemis, George, et al.
Published: (2024)
by: Yiasemis, George, et al.
Published: (2024)
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
by: Yiasemis, George, et al.
Published: (2024)
by: Yiasemis, George, et al.
Published: (2024)
How to Design and Train Your Implicit Neural Representation for Video Compression
by: Gwilliam, Matthew, et al.
Published: (2025)
by: Gwilliam, Matthew, et al.
Published: (2025)
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
by: Huang, Qi, et al.
Published: (2024)
by: Huang, Qi, et al.
Published: (2024)
Similar Items
-
From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields
by: Kofinas, Miltiadis, et al.
Published: (2024) -
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
by: Wessels, David R, et al.
Published: (2024) -
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
by: Knigge, David M., et al.
Published: (2024) -
Amortized Equation Discovery in Hybrid Dynamical Systems
by: Liu, Yongtuo, et al.
Published: (2024) -
NARAIM: Native Aspect Ratio Autoregressive Image Models
by: Fernández, Daniel Gallo, et al.
Published: (2024)