[Radiance-general] A modern comparison of Radiance and other rendering engines
Lars O. Grobe
grobe at gmx.net
Mon Jan 29 04:23:37 PST 2018
Hi,
there are even more renderers, e.g. pbrt/luxrender, mitsuba, ....
I think the main difference is - that the difference is not known. In
the Radiance universe, a lot of work is spent on testing the validity of
the models and methods. This allows professionals to rely on the
software, as long as they are within the boundaries of the validations.
There is a lot of other software capable to solve the global
illumination, but few people will rely on it for quantitative studies
before they have been validated.
Another, really important reason that people stick with Radiance
regardless what exists "out there" is that for daylight simulation, a
good renderer does not help you without the ecosystem of tools making it
a useful simulation environment. So to make use of climate data, perform
annual simulations, model the often exotic properties of fenestration,
and analyze the results, you need more than the ray-tracer.
Finally, what may appear as an advantage - the quick introduction of new
features and state-of-the-art rendering algorithms, can become a serious
drawback. The "modular" renderers out there, e.g. Mitsuba, allow to
combine different modules. Other, often commcercial renderers, may bring
new features with every release (and may not even tell you if something
changed). However, if you need to redo all your validations with every
combination of such modules, or any change in your implementation, you
hardly reach the point where you can make use of the software.
So while there exist lots of codes to trace light, the motivation of the
developers usually is not to ensure valid quantitative simulation for
building performance analysis. In fact, most software in this field is
based on tuning and adapting good-old radiosity.
https://www.janwalter.org/RadianceVsYouNameIt/radiance_vs_younameit.html
This is an impressive coverage of rendering engines! It just lacks the
numbers. So while images may look similar, we do not know about
quantitative agreement.
Cheers,
Lars
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