Abstract: Approaches presented herein provide for the maintaining of fine details that might be removed by a denoiser used to reduce an amount of noise in an image. An input image can be provided to a denoiser, and can also can be simultaneously processed to extract pixel data that may correspond to fine detail or high frequency features. Individual pixels of an image can have a value determined for a material property sampled for that pixel location, and that value can be compared against an average material property value determined for neighboring pixels. The ratio of material values can be multiplied by the value of a corresponding pixel of the denoised image, for any or all pixel locations, to obtain final pixel values for an output image that include less noise than the original image but represent fine detail that may otherwise have been lost during the denoising process.

Abstract: Disclosed are apparatuses, systems, and techniques to render images with global illumination using efficient ray tracing, light source identification, and reservoir resampling that deploys temporal and spatial reservoirs.

Abstract: Disclosed are apparatuses, systems, and techniques to render images with global illumination using efficient ray tracing, light source identification, and reservoir resampling that deploys temporal and spatial reservoirs.