
Rendering high-quality images shouldn’t take hours. With the Intel AI denoiser in Corona Renderer, you can reduce render times dramatically—by up to 15×—without compromising image quality. This method, explained in a RenderRam tutorial by Vjeko, also works in V-Ray and is ideal for architectural visualization workflows.
Whether you’re rendering interiors, exteriors, or stylized scenes, this workflow will help you save time while achieving sharper results.
How to Use the Intel AI Denoiser in Corona
To take advantage of this method, follow these steps in Corona Renderer:
- In the denoising settings, choose Intel CPU + GPU AI
- Set denoising amount to 0.85 (instead of the default 0.65)
- Set Noise Level Limit to 0 and define your render duration manually (e.g., 7 minutes)
- Under System → Image Filtering, choose Tent
- Double your target resolution (e.g., 4000×4000 if final is 2000×2000)
- Render the image
- Open it in Photoshop, and downscale it by 50% using Bicubic Sharper
This process takes just minutes and yields noticeably better image sharpness and texture clarity—even at lower sampling rates.
Why This Works So Well
The Intel AI denoiser performs best when provided with more pixel data. By rendering at a higher resolution, you feed the denoiser more information, resulting in cleaner output. Downscaling then minimizes artifacts and enhances sharpness, acting as a natural post-process filter.
Moreover, you don’t need to rely on noise limits. Even with 15–40% noise levels, the results remain strong.
For V-Ray users: You don’t need to set Tent filtering—V-Ray handles that automatically when Intel AI is selected.
For more video by RenderRam check this link.