Layer Filters - SuperSampling and Sharpening with MQSR

Add one or more filter types in Additional Flags:

1. Bicubic Filtering enables GPU hardware bicubic filtering tuned for Quest’s display, providing additional fidelity when presenting VR imagery.
   Note: Bicubic filtering requires more GPU resources as the kernel footprint increases. This is especially true for trilinear minification as it requires two bicubic calculations from separate mip-levels. If used directly for compositor layers, the increased GPU costs will manifest itself in composition timing, which may lead to frame drops and negatively impact the VR experience. You should weigh the increased visual fidelity against the additional GPU resources required to offer the best VR user experience.
2. SuperSample and Sharpen-related filters control SuperSampling and Sharpening behavior:
   Auto Filtering allows the runtime to automatically apply a layer filter (Sharpen or SuperSampling) to improve visual quality.
   Note: SuperSample Filtering and Sharpen Filtering cannot both be enabled unless Auto Filtering is enabled.
   SuperSample Filtering reduces flicker artifacts by improving temporal sampling quality.
   • Normal SuperSampling - An efficient two-tap filter which alters the sampling pattern every other frame to approximate a more computationally expensive four-tap filter. For most use cases, the quality is indistinguishable from the four-tap filter with reduced computation costs.
   • Quality SuperSampling - A more expensive four-tap filter which performs conventional supersampling with no temporal component.
   Sharpen Filtering increases the perceived sharpness of the rendered image.
   • Normal Sharpening - An efficient three-tap sharpening algorithm, which alters the sampling pattern every other frame to approximate a more computationally expensive five-tap filter.
   • Quality Sharpening - Meta Quest Super Resolution (MQSR), which is a single-pass spatial upscaling and sharpening technique optimized to run on Meta Quest devices.
   Note: For more information, see Super Resolution Blog.