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.
Advances in neural information processing systems 33 (2020), 7462–7473
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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.