Search Results for author:
Found 4 papers, 0 papers with code
RGB$\leftrightarrow$X: Image decomposition and synthesis using material- and lighting-aware diffusion models
Our X$\rightarrow$RGB model explores a middle ground between traditional rendering and generative models: we can specify only certain appearance properties that should be followed, and give freedom to the model to hallucinate a plausible version of the rest.
Efficient Gradient Estimation via Adaptive Sampling and Importance Sampling
Nevertheless, existing algorithms have struggled to efficiently integrate importance sampling into machine learning frameworks.
Bootstrapping Non-Stationary Stochastic Volatility
Instead, we use the concept of `weak convergence in distribution' to develop and establish novel conditions for validity of the wild bootstrap, conditional on the volatility process.
Perceptual error optimization for Monte Carlo rendering
To find solutions, we present a set of algorithms that provide varying trade-offs between quality and speed, showing substantial improvements over prior state of the art.
Image Generation
Graphics
I.3.7
