Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics

Anisotropic Gaussian mutations for metropolis light transport through Hessian-Hamiltonian dynamics

The simulation of light transport in the presence of multi-bounce glossy effects and motion is challenging because the integrand is high dimensional and areas of high-contribution tend to be narrow and hard to sample. We present a Markov Chain Monte Carlo (MCMC) rendering algorithm that extends Metr...

Full description

Bibliographic Details
Main Authors: Lehtinen, Jaakko, Ramamoorthi, Ravi, Jakob, Wenzel, Li, Tzu-Mao, Durand, Frederic
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Association for Computing Machinery (ACM) 2017
Online Access:http://hdl.handle.net/1721.1/111589
https://orcid.org/0000-0002-0218-1971
https://orcid.org/0000-0001-9919-069X

Internet

http://hdl.handle.net/1721.1/111589
https://orcid.org/0000-0002-0218-1971
https://orcid.org/0000-0001-9919-069X

Similar Items