Modifying RTPATHOCL to improve quality?
- richardbao
- Posts: 17
- Joined: Tue Mar 09, 2021 7:47 am
Modifying RTPATHOCL to improve quality?
hey guys,i find the RTPATHOCL works pretty fast for previewing, however, is there anyway i could improve the previewing quality, i was wondering other than rtpath.resolutionreduction.preview. were there any other setting or params i could change to make the preview looks better? i dont mind to make the preview a little b it slow.
Re: Modifying RTPATHOCL to improve quality?
You have to help us understand what you mean by quality ?
In case you want more samples before RT stop computing it is here :
The image will look cleaner by increasing the time.
In case you want more samples before RT stop computing it is here :
The image will look cleaner by increasing the time.
- richardbao
- Posts: 17
- Joined: Tue Mar 09, 2021 7:47 am
Re: Modifying RTPATHOCL to improve quality?
thanks for replying,
I am not using luxcore for blender but integrating luxcore to our 3d editors.
by improving image quality, I mean other than reducing resolution, was there any other way I could modify in code to make the image looks cleaner and less noise. I knew rendering is all about balancing quality and speed. since the RTPATHOCL preview speed is pretty fast, I think it's totally fine to make it run a little bit slower but cleaner.
I am not using luxcore for blender but integrating luxcore to our 3d editors.
by improving image quality, I mean other than reducing resolution, was there any other way I could modify in code to make the image looks cleaner and less noise. I knew rendering is all about balancing quality and speed. since the RTPATHOCL preview speed is pretty fast, I think it's totally fine to make it run a little bit slower but cleaner.
Re: Modifying RTPATHOCL to improve quality?
You can use Optix denoiser with RTPATHOCL. It is really fast and usable with RTPATHOCL. It will clean most of the noise after few seconds of rendering. There is an image pipeline plugin for that.
Intel OIDN is the alternative portable option but you have to be careful with the refreshes because it can take up to a couple of seconds to denoise an high resolution image.
Intel OIDN is the alternative portable option but you have to be careful with the refreshes because it can take up to a couple of seconds to denoise an high resolution image.