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Premiers tests des Adaptive Lights de V-Ray 3.5

Un regard sur les performances et le potentiel des Adaptive Lights, développées pour mieux calculer les scènes comportant de nombreuses sources lumineuses.

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Something very good is about to be added to V-Ray. It’s called Adaptive Lights and it speeds up rendering huge amounts of lights. Still under R&D but it’s already very impressive. And It makes me very happy as for quite some time I’ve been unimpressed by the speed of rendering lots of V-Ray Lights. As usual Chaos Group team listened and created something simply amazing.

I’m excited. Check out why:

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s208b3207-2d83-42d5-9fa5-f76aef2352a4s

For this image render times went down from 43:37   to 10:29   :

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s3e693d46-ecbc-410d-b908-60e9b9cfcceaw

For this one render times went down from: 53:59  to 7:31

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s4d0908f8-dbca-45ac-a15b-0534a0391b11d

I trust numbers and like to test a lot on variation of scenes. So I took shots we did in the past and calculated how much faster it would be on average compared to Probabilistic Lights or Full approach:

https://docs.google.com/spreadsheets/d/1TeluZJFuUcycV6FG7RPwMW_0hSc8w-q_cU6SHXOsWeI/edit?usp=sharing

My personal thoughts based on those tests:

  1. Probabilistic lights are not universal solution for scenes containing huge amounts of lights.
  2. It’s smart, it adapts to the conditions of scenes and users don’t have to worry about playing with settings as much as they had with Probabilistic lights.
  3. New approach is more universal and compared to Probabilistic Lights it will be a lot faster.
  4. More lights = bigger the difference. It will render very fast regardless of number of lights.
  5. It’s good to complain that something is slow ;)…

If you have access to nightly builds, you can test it out already (use maxscript code for that “renderers.current.options_probabilisticLights=2” ). This is still under research and development but it’s supposed to be included in next service pack.

If you would like to learn more about adaptive lights I recommend you to visit this  ChaosGroup Lab blog post  .