You are viewing RenderMan 22 documentation which is not the current release. You may view the current documentation by visiting the home page.

Page tree

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Basic Filtering

Using Maya

 


Using the denoising tool from RfM is fairly straightforward. The AOVs tab under Render Settings now contains a drop-down for each display driver from which you can select Frame or Cross-frame filtering. Choose Frame and RfM will automatically apply the settings needed to produce a denoisable image. This will execute the tool as a post-process and removes noise through statistical filtering on specially configured EXR images.

...

  1. Prman Globals Settings

    Turn on importance sampling for the raytrace hider's pixel filter mode. This will eliminate splotchiness in the render.
     

     


  2. PrmanDenoiseChannelDefine

    Create a PrmanDenoiseChannelDefine node which is a macro for creating all the specific DisplayChannels required for the denoise utility.
     

  3. PrmanDenoiseRenderOutputDefine

    Create a PrmanDenoiseRenderOutputDefine node which is a macro for rendering a multichannel OpenEXR file for the beauty pass combined with the AOVs.

    Note

    Be sure the Type is set to raw

     


    Info
    If your pipeline does not support multichannel EXR, you can use $RMANTREE/bin/exrmerge to combine the AOVs into a multichannel EXR. Then use this merged multichannel EXR for the denoise utility. Note that each AOV's type should be set to "raw" because this preserves the channel name in the EXR which the denoise utility will look for. Combined EXR using Katana's RenderOutputDefine's merge will not work with the denoise utility.
  4. Running Denoise Via RenderOutputDefine Script (Single Frame)

    Create a RenderOutDefine. Wire this node to the previous RenderOutputDefine node. Select script for the type, select primary for the scriptInput, and set the scriptCommand to the following:

    Code Block
    $RMANTREE/bin/denoise $INPUT

    By default, it will write out <image>_filtered.exr. This can be changed by specifying -o. Run denoise -help for more information on other denoise utility options.

...

Code Block
# Beauty...
DisplayChannel "color Ci"
DisplayChannel "float a"
DisplayChannel "color mse" "string source" "color Ci" "string statistics" "mse"

# Shading...
DisplayChannel "color albedo" "string source" "color lpe:nothruput;noinfinitecheck;noclamp;unoccluded;overwrite;C(U2L)|O"
DisplayChannel "color albedo_var" "string source" "color lpe:nothruput;noinfinitecheck;noclamp;unoccluded;overwrite;C(U2L)|O" "string statistics" "variance"
DisplayChannel "color diffuse" "string source" "color lpe:C(D[DS]*[LO])|O"
DisplayChannel "color diffuse_mse" "string source" "color lpe:C(D[DS]*[LO])|O" "string statistics" "mse"
DisplayChannel "color specular" "string source" "color lpe:CS[DS]*[LO]"
DisplayChannel "color specular_mse" "string source" "color lpe:CS[DS]*[LO]" "string statistics" "mse"

# Geometry...
DisplayChannel "float zfiltered"
"string source" "float z" "string filter" "gaussian"
DisplayChannel "float zfiltered_var" "string source" "float zzfiltered" "string filter" "gaussian" "string statistics" "variance"
DisplayChannel "normal normal" "string source" "normal Nn"
DisplayChannel "normal normal_var" "string source" "normal Nn" "string statistics" "variance"
DisplayChannel "vector forward" "string source" "vector motionFore"
DisplayChannel
"vector backward" "string source" "vector motionBack"

Display "image.exr" "openexr" "Ci,a,mse,albedo,albedo_var,diffuse,diffuse_mse,specular,specular_mse,zfiltered,zfiltered_var,normal,normal_var,forward,backward" "int asrgba" 1
Hider "raytrace" "string pixelfiltermode" "importance" # ...
Note

We mention use of "normal Nn", however for hair we recommend substituting Tn "Hair Tangent" for the best results of Denoising hair.

 


In the above example we include "vector forward" and "vector backward" for completeness. These are only used (one or the other or both) for cross-frame denoising but not for a single frame. If only one exists, the Denoiser assumes the opposite vector for the missing direction. If neither exists, it will still operate but in a limited capacity.

...