Bayesian NeRF: Quantifying Uncertainty with Volume Density in Neural Radiance Fields.
Sibeak LeeKyeongsu KangHyeonwoo YuPublished in: CoRR (2024)
Keyphrases
- decision theory
- dempster shafer
- network architecture
- low density
- expected utility
- neural network
- belief functions
- bayesian decision
- bayesian networks
- bayesian analysis
- posterior probability
- bio inspired
- inherent uncertainty
- neural model
- conditional probabilities
- decision making
- maximum likelihood
- missing data
- density function
- posterior distribution
- associative memory
- uncertain data
- probability theory
- bayesian learning
- high dynamic range
- gaussian processes
- possibility theory
- bayesian estimation
- learning rules
- probability measure
- data driven
- neural fuzzy
- clustering algorithm