Anti Aliasing Lectures

Lectures
[1] http://cs248.stanford.edu/winter19content/lectures/02_drawtriangle/02_drawtriangle_slides.pdf
[2] http://graphics.stanford.edu/courses/cs348b-19-spring-content/lectures/08_sampling/08_sampling_slides.pdf
[3] http://www8.cs.umu.se/kurser/TDBC07/HT04/handouts/HO-lecture5.pdf


References:
[1] Super Sample http://hhoppe.com/proj/supersample/
Amortized Supersampling  http://hhoppe.com/supersample.pdf
[2] Sampling https://noahmjacobs.com/graphics/rasterizer/
[3] MultiSampling https://learnopengl.com/Advanced-OpenGL/Anti-Aliasing
[4] Anti Aliasing https://vr.arvilab.com/blog/anti-aliasing

Super-sampling Anti-aliasing Analyzed https://pdfs.semanticscholar.org/ebd9/ddb08c4244fc7df00672cacb420212cdde54.pdf

Comparison for R.T. Applications http://jacoblongazo.com/documents/Anti-Aliasing%20Paper.pdf


Related:
[1] Deep Learning Super resolution (2019) https://arxiv.org/pdf/1808.03344.pdf