If you missed SIGGRAPH 2017 watch a selection of recorded Live Streaming Sessions.
Rendering in Path Space
If you missed SIGGRAPH 2017 watch a selection of recorded Live Streaming Sessions.
A rendering framework to fuse the path space and the primary sample space of Markov chain Monte Carlo rendering. Using this formulation and method, the mutation strategies designed to work within only one of the state spaces can now also work in another space.
Hisanari Otsu
The University of Tokyo
Anton Kaplanyan
NVIDIA Research
Johannes Hanika
Karlsruher Institut für Technologie
Carsten Dachsbacher
Karlsruher Institut für Technologie
Toshiya Hachisuka
The University of Tokyo
This work extends the concept of primary sample spaces into that of sampling charts, obtaining a new type of algorithm called charted Metropolis light transport, which can be seen as a bridge between primary sample space and path-space Metropolis light transport.
Jacopo Pantaleoni
NVIDIA Corporation
This novel spatial and progressively refined target function for Metropolis photon tracing distributes photons over the image plane more evenly and leads to pixel estimates with equalized relative error.
Adrien Gruson
University of Rennes 1
Mickaël Ribardière
Université de Poitiers
Martin Šik
Charles University in Prague
Jiří Vorba
Charles University in Prague
Rémi Cozot
University of Rennes 1
Kadi Bouatouch
University of Rennes 1
Jaroslav Křivánek
Charles University in Prague
The first theoretical analysis of how to perform antialiasing in path-tracing engines (supporting bidirectional path-tracing) and a practical solution to determine the appearance band limit.
Laurent Belcour
Unity Technologies
Ling-Qi Yan
University of California, Berkeley
Ravi Ramamoorthi
University of California, San Diego
Derek Nowrouzezarhai
McGill University
