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What is GI vs. AA balance?

Number of GI samples per each anti-aliasing sample. Higher values will make global illumination and light noise clean up faster, while lower values will make the antialiasing, motion blur, and depth of field noise clean up faster. Setting this value under 2 or above 64 is not recommended.

 

What is it?

The GI vs. AA balance value specifies the number of GI samples per each antialiasing sample. One antialiasing sample is cast for each pixel during one render pass.

  • Total amount of samples is dependent on Light samples multiplier and GI vs. AA balance values. 
  • If Light samples multiplier is set to 1 and GI vs. AA balance is set to 16, this means that 16 GI samples and 16 direct light samples will be used for each pixel per pass. 
  • If Light samples multiplier is set to 2 and GI vs. AA balance is set to 16, this means that 16 GI samples and 32 direct light samples will be used for each pixel per pass. 
  • In some situations it makes sense to reduce one of these values and increase the second one, or even to reduce both. Typically, there is no need to increase GI vs. AA balance above 64 and Light samples multiplier above 4.
  • GI vs. AA balance should never be lowered below 2. 

 

The default value of 16 works well in most cases, but sometimes it should be increased if there is more noise in indirect light areas, or decreased if there is strong DoF (3ds Max | C4D) or motion blur (3ds Max | C4D) in the scene. 

 

See: How can I tell whether noise comes from direct or indirect light?

 

Note: GI vs. AA balance works in correlation with Light Samples Multiplier.

 

Where to find it?

You can find the GI vs. AA balance parameter in:

 

3ds Max:

Render setup > Performance > Performance Settings > Sampling balance:

mceclip0.png

 

Cinema 4D:

Render Settings > Corona > Performance Settings > Sampling balance: 

C4D_WhatIsGIvsAA_UI_00.png

 

Examples

Default settings

GI vs. AA balance = 16

LSM = 2

30 passes

Render time: 05:46

 

16 samples are used for GI and 16 x 2 = 32 samples are used for direct light. These are the default settings of Corona, which offer a good balance between GI and direct light quality. They will work fine in most interior and exterior scenes. 

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Direct lighting pass:

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Global illumination pass:

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Lowered LSM

GI vs. AA balance = 16

LSM = 1

30 passes

Render time: 05:05

 

The same number of samples (16) is used for both GI and direct light. Note that the quality of GI the GI pass remains the same as when using the default settings, but the quality of the direct lighting pass is lower. Render time is also slightly lower. 

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Direct lighting pass:

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Global illumination pass:

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Lowered GI vs. AA balance and LSM

GI vs. AA = 4

LSM = 1

30 passes

Render time: 02:00

 

The same number of samples (4) is used for GI and for direct light. Note that the overall quality of the image is much worse than with the default settings, even though the number of rendered passes is the same (30). Render time is much lower. 

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Direct light pass:

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Global illumination pass:

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Increased GI vs. AA balance, lowered LSM

GI vs. AA balance = 64

LSM = 0,25

30 passes

Render time: 14:49

 

64 samples are used for GI and 64 x 0,25 = 16 samples are used for direct light. When compared to the default settings example, it can be seen that the GI pass has a higher quality (at the cost of render time), and the direct lighting pass has lower quality. 

(click to enlarge)

 

Direct light pass:

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GI pass:

(click to enlarge)

 

 

Increased LSM

GI vs. AA = 16

LSM = 4

30 passes

Render time: 07:02

 

The default value of 16 samples is used for GI and 16 x 4 = 64 samples are used for direct light. After comparing, it can be seen that the direct lighting pass has higher quality than the indirect lighting pass. 

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Direct light pass:

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GI pass:

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Depth of Field

 

Default settings - GI vs AA 16, LSM 2

Time limit: 10 minutes

Passes rendered: 19

 

Note the bad quality of areas where the depth of field is visible:

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GI vs AA lowered to 4, LSM 2.

Time limit: 10 minutes

Passes rendered: 37

 

Note that while the overall quality of the image is similar, the depth of field looks much better in this example:

(click to enlarge)

 

 

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