Mitsuba is currently maintained and developed by Wenzel Jakob. It is free software and can be redistributed and modified under the terms of the GNU General Public License (Version 3) as provided by the Free Software Foundation.

Remark: Being a "viral" license, the GPL automatically applies to all derivative work. Amongst other things, this means that without express permission, Mitsuba's source code is off-limits to those who develop rendering software not distributed under a compatible license.

If you used Mitsuba in your about-to-be published research project, a citation is kindly requested:

@misc{Mitsuba,
   Author = {Wenzel Jakob},
   Year = {2010},
   Note = {http://www.mitsuba-renderer.org},
   Title = {Mitsuba renderer}
}

 

Microsoft Windows Vista or newer

Optimized build (32 and 64 bit)Download
Legacy build (32-bit, for older AMD processors)Download

Mac OS X Snow Leopard (10.6) or newer

Universal binary for Intel 32/64 bitDownload

Linux (Intel/64 bit only)

Ubuntu 10.10 (maverick)Download
Ubuntu 11.04 (natty)Download
Debian 6.0 (squeeze)Download
Fedora Core 15Download
Arch LinuxDownload
Gentoo LinuxOverlay

Source code

All platformsMercurial

Older releases

All platformsDownload

Example scenes  (please note that these are not covered by the GPL3 license)

cbox.zip A Mitsuba conversion of the classic Cornell Box scene.
veach_mi.zip Multiple importance sampling test — based on a scene by Eric Veach
matpreview.zip Material preview scene by Jonas Pilo. The used environment map is courtesy of Bernhard Vogl
hetvol.zip Index-matched heterogeneous medium (generated using fsolver)
sponza.zip Sponza atrium courtesy of Marko Dabrovic (note that this conversion contains a few bad normals/texture coordinates)
irawan.zip Example scenes based on measured woven cloth samples — from Piti Irawan's PhD thesis "Appearance of Woven Cloth"

scarf.zip

Scarf dataset from the paper "A radiative transfer framework for rendering materials with anisotropic structure" (153 MB)

The underlying simulation data is courtesy of Jonathan Kaldor, and the voxelization is courtesy of Manuel Vargas Escalante and Manolis Savva.