Controlling procedural modeling programs with stochastically-ordered sequential Monte Carlo

DOI10.1145/2766895zbMath1335.65034OpenAlexW2093211258MaRDI QIDQ2802339

Pat Hanrahan, Ben Mildenhall, Noah D. Goodman, Daniel Ritchie

Publication date: 25 April 2016

Published in: ACM Transactions on Graphics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1145/2766895

zbMATH Keywords

sequential Monte Carloprobabilistic programmingdirectable randomnessprocedural modeling

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Monte Carlo methods (65C05) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18)

Uses Software

• Church
• Multilisp
• Terra

Cites Work

• Unnamed Item
• Unnamed Item
• Following a Moving Target—Monte Carlo Inference for Dynamic Bayesian Models
• Sequential Monte Carlo Methods in Practice
• Particle Markov Chain Monte Carlo for Efficient Numerical Simulation
• MULTILISP: a language for concurrent symbolic computation
• High Energy Elastic Scattering of Electrons on Protons