Depth-Aware Implicit Neural Representation Priors for 3D Gravity Inversion

arXiv:2608.08959 · cs.AI · Submitted 2026-08-09 · Read on arXiv

León Suarez-Rodriguez, Paul Goyes-Peñafiel, Javier Torres-Quintero, Henry Arguello

cs.AI

Submitted: 2026-08-09

Updated: 2026-08-11

Code: https://github.com/leonsuarez24/Depth-gravity-inversion

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Regularization — 18× in this paper · explained in 3 episodes
Inverse Problem — 7× in this paper · explained in 2 episodes
Accuracy — 4× in this paper · explained in 1 episode
Generalization — 4× in this paper · explained in 14 episodes
Parameterization — 4× in this paper · explained in 2 episodes
Sparsity — 4× in this paper · explained in 5 episodes
Objective Function — 3× in this paper · explained in 2 episodes
Generator — 2× in this paper · explained in 2 episodes
Hyperparameters — 2× in this paper · explained in 2 episodes
Localization — 2× in this paper · explained in 2 episodes
Reinforcement Learning — 2× in this paper · explained in 4 episodes
3D Reconstruction — 1× in this paper · explained in 1 episode
Augmentation — 1× in this paper · explained in 2 episodes
Benchmark — 1× in this paper · explained in 2 episodes
Coherence — 1× in this paper · explained in 2 episodes
Consistency — 1× in this paper · explained in 3 episodes
Data Augmentation — 1× in this paper · explained in 10 episodes
Decoder — 1× in this paper · explained in 2 episodes
Deep Reinforcement Learning — 1× in this paper · explained in 3 episodes
Domain Adaptation — 1× in this paper · explained in 5 episodes
Editor — 1× in this paper · explained in 2 episodes
Fidelity — 1× in this paper · explained in 2 episodes
Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Related papers