Adding Gaussian noise to query coordinates during neural field training, with a decaying amplitude, acts as stochastic preconditioning that improves optimization quality across SDF fitting, surface reconstruction, and radiance fields.
ACM Transactions on Graphics (ToG) 36, 4 (2017), 1–13
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Stochastic Preconditioning for Neural Field Optimization
Adding Gaussian noise to query coordinates during neural field training, with a decaying amplitude, acts as stochastic preconditioning that improves optimization quality across SDF fitting, surface reconstruction, and radiance fields.