Multisample Anti-aliasing in Deferred Rendering
András Fridvalszky, Balázs Tóth · Eurographics · 2020
We propose a novel method for multisample anti-aliasing in deferred shading. Our technique successfully reduces memory and bandwidth usage. The new model uses per-pixel linked lists to store the samples. We also introduce algorithms to construct the new G-Buffer in the geometry pass and to calculate the shading in the lighting pass. The algorithms are designed to enable further optimizations, similar to variable rate shading. We also propose methods to satisfy constraints of memory usage and processing time. We integrated the new method into a Vulkan based renderer.