LuxCoreRender Forums

:D Well, i didn't went for 16K yet... but did Sharlybg's "Food" Scene with Tiled Sampler, tiled OIDN... all in all roughly 50min @ 10K! on Q M5000 & GTX1070 8-) The only reason I haven't yet removed TILEPATH render engine ... and I want really badly to remove that code, it is literally useless in a...

Split from viewtopic.php?f=5&t=1185&p=14310#p14268
- B.Y.O.B.

Luxart wrote: ↑

Tue Jul 02, 2019 5:45 am

Shall we remove Light groups and Tile Path, Both are rarely used and of little use.

Moreover I'm using Tiled PATH

Dade wrote: ↑

Sun Jun 30, 2019 9:01 am

lacilaci wrote: ↑

Sat Jun 29, 2019 1:08 pm

Dade please. This or portals.

Luxcore definitely needs either this to be working well or a standard "portal" solution

I consider now the work for v2.2 PhotonGI cache and Hybrid rendering done. This is the next (and last) topic for v2.2 (bug fixes aside).

When are we can take this "sweat"?

Dade wrote: ↑

Thu Jun 27, 2019 12:41 pm

Dade wrote: ↑

Thu Jun 27, 2019 12:38 pm

(aka "if you use something else, you are out of your mind" )

Also: "CPU-only rendering is now officially dead".

Sorry, dont understand exact. Is Cpu doesnt working anymore?

Hi. Sorry if I missed something but can anyone paste me the link for the completed build for this "sweat"?

A novel new algorithm which will add much more realizm to SSS-based model. Authors: Delio Vicini, Vladlen Koltun, Wenzel Jakob. https://rgl.s3.eu-central-1.amazonaws.com/media/images/papers/Vicini2019Learned_teaser_1.jpg Ren­der­ing of trans­lu­cent soap blocks with sig­ni­fic­ant an­iso­tropy (g = ...

@Dade, can you try to explain to us this algo in the example?

Why? Is it so unuseful thing, are you think so?

Thank you Dade. I'm considering into it. It will be cool if someone implement this feature to the engine.

Hi there. When I surfing on the internet I found a brend-new denoising algorithm which is called "Sample-based Monte Carlo Denoising using a Kernel-Splatting Network" aka SBMCD. Original info from the authors: https://groups.csail.mit.edu/graphics/rendernet/data/teaser.png Denoising has proven to be...