@Article{nagano2016-Massively-Parallel-Inverse-Rendering-Using-Multi-Objective-Particle-Swarm-Optimization,
abstract = {We present a novel GPU-accelerated per-pixel inverse rendering optimization algorithm based on Particle Swarm Optimization (PSO). Our algorithm estimates the per-pixel scene attributes---including reflectance properties---of a 3D model, and is fast enough to do in situ visualization of the optimization in real-time. The algorithm's high parallel efficiency is demonstrated through our GPU/GLSL shader implementation of the method. IRPSO is validated experimentally on simulated ground truth images, while a suite of tests performed on the University of Southern California's High Performance Computing Center cluster provides strong evidence that our method can scale to larger, more difficult inverse rendering problems.},
author = {Koki Nagano and Thomas Collins and Chi-An Chen and Aiichiro Nakano},
journal = {Journal of Visualization},
month = jun,
pages = {1--10},
title = {Massively Parallel Inverse Rendering Using Multi-Objective Particle Swarm Optimization},
year = {2016},
}