Accelerating Denoising at the Speed of Light: Difference between revisions
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== Introduction == | == Introduction == | ||
In computer graphics, real-time ray tracing has become widely adopted for generating high-quality visuals in applications like gaming and interactive simulations. A significant challenge in ray tracing is that using a low number of samples per pixel often results in noisy images, limiting their practical use. Achieving high-quality images typically requires ray tracing with a large number of samples per pixel, which demands substantial computational power and makes real-time generation difficult. Consequently, there is a growing need for effective noise reduction techniques for images rendered with fewer samples per pixel. Efficient denoising can produce high-quality images that preserve scene realism while optimizing computational resources. | |||
== Background == | == Background == | ||
Revision as of 06:20, 13 December 2024
Introduction
In computer graphics, real-time ray tracing has become widely adopted for generating high-quality visuals in applications like gaming and interactive simulations. A significant challenge in ray tracing is that using a low number of samples per pixel often results in noisy images, limiting their practical use. Achieving high-quality images typically requires ray tracing with a large number of samples per pixel, which demands substantial computational power and makes real-time generation difficult. Consequently, there is a growing need for effective noise reduction techniques for images rendered with fewer samples per pixel. Efficient denoising can produce high-quality images that preserve scene realism while optimizing computational resources.
Background
Methods
Results
Conclusions
Appendix
You can write math equations as follows:
You can include images as follows (you will need to upload the image first using the toolbox on the left bar, using the "Upload file" link).