Sample-based Monte Carlo denoising using a kernel-splatting network.
Michaël GharbiTzu-Mao LiMiika AittalaJaakko LehtinenFrédo DurandPublished in: ACM Trans. Graph. (2019)
Keyphrases
- monte carlo
- denoising
- monte carlo simulation
- markov chain
- importance sampling
- adaptive sampling
- markovian decision
- monte carlo method
- monte carlo methods
- point processes
- monte carlo tree search
- image denoising
- feature space
- sample size
- stochastic approximation
- image processing
- game tree search
- temporal difference
- variance reduction
- support vector
- global illumination
- matrix inversion
- total variation
- computational cost
- learning algorithm
- kernel function
- machine learning