Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations.
Jianxiong ShenAdria RuizAntonio AgudoFrancesc Moreno-NoguerPublished in: 3DV (2021)
Keyphrases
- stochastic nature
- distributed representations
- network architecture
- neural network
- monte carlo
- stochastic simulation
- higher level
- incomplete information
- uncertain data
- stochastic model
- bio inspired
- expected utility
- internal representations
- hebbian learning
- neural model
- decision making
- computer vision
- biologically inspired
- high dynamic range
- stochastic processes
- associative memory
- possibility theory
- stochastic process
- multiple representations
- multistage
- computational intelligence
- neural fuzzy
- learning algorithm