Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance FieldsWe use multisampling to approximate the average NGP feature over a conical frustum, by constructing a 6-sample pattern that exactly matches the frustum's first and second moments. When training, we randomly rotate and flip (along the ray axis) each pattern, and when rendering we deterministically flip and rotate each adjacent pattern by 30 degrees. XY aliasing A naive baseline (left) combining mip
