What you’ll build here
- Sampling theorem intuition and why aliasing appears.
- Spatial antialiasing patterns and reconstruction filters.
- Temporal accumulation basics (TAA) and ghosting tradeoffs.
- Denoising concepts: bias vs variance.
Next step
Add worked examples and visual demos as this section evolves.