Two-Stage Monte Carlo Denoising with Adaptive Sampling and Kernel Pool.
Tiange XiangHongliang YuanHaozhi HuangYujin ShiPublished in: CoRR (2021)
Keyphrases
- adaptive sampling
- monte carlo
- denoising
- markov chain
- image processing
- kernel function
- importance sampling
- monte carlo simulation
- kernel methods
- conditional density estimation
- variance reduction
- monte carlo methods
- support vector
- monte carlo tree search
- feature space
- particle filter
- kernel matrix
- point processes
- upper bound
- dynamic programming
- matrix inversion