From 29715ff95d26012d7d59fb3e0182068fad754417 Mon Sep 17 00:00:00 2001
From: Lukas Heiligenbrunner <lukas.heiligenbrunner@gmail.com>
Date: Sun, 23 Nov 2025 19:50:57 +0100
Subject: [PATCH] moved slides a bit around

---
 presentation/main.tex | 59 ++++++++++++++++++++-----------------------
 1 file changed, 28 insertions(+), 31 deletions(-)

diff --git a/presentation/main.tex b/presentation/main.tex
index 09f4b8b..8145248 100644
--- a/presentation/main.tex
+++ b/presentation/main.tex
@@ -365,36 +365,6 @@
 %	SECTION 5: IMPLEMENTATION
 %----------------------------------------------------------------------------------------
 
-    \section{GPU Implementation}
-
-    \begin{frame}{Efficient GPU Computation}
-        \begin{itemize}
-            \item All major steps implemented on GPU:
-            \begin{itemize}
-                \item Density accumulation $\rightarrow$ vertex + fragment shader
-                \item Gaussian smoothing $\rightarrow$ 2 compute-shader passes
-                \item Integral image computation $\rightarrow$ fragment shader
-            \end{itemize}
-            \item Achieves interactive rates for millions of samples
-        \end{itemize}
-    \end{frame}
-
-%----------------------------------------------------------------------------------------
-%	SECTION 7: RESULTS
-%----------------------------------------------------------------------------------------
-
-    \begin{frame}{Performance}
-        \begin{itemize}
-            \item Runs at interactive frame rates:
-            \begin{itemize}
-                \item e.g. 4M samples in $\approx 3$ ms per iteration
-            \end{itemize}
-            %\item Standard deviation of samples/bin decreases monotonically
-            %\item Overplotting fraction also decreases monotonically
-        \end{itemize}
-        \centering
-        \includegraphics[scale=0.4]{rsc/img}
-    \end{frame}
 
     \begin{frame}{Example I}
         \centering
@@ -444,8 +414,35 @@
 
     \appendix
 
-    \section{Backup}\label{sec:backup}
+    \section{Backup Slides}\label{sec:backup}
 
+    \begin{frame}{Efficient GPU Computation}
+        \begin{itemize}
+            \item All major steps implemented on GPU:
+            \begin{itemize}
+                \item Density accumulation $\rightarrow$ vertex + fragment shader
+                \item Gaussian smoothing $\rightarrow$ 2 compute-shader passes
+                \item Integral image computation $\rightarrow$ fragment shader
+            \end{itemize}
+            \item Achieves interactive rates for millions of samples
+        \end{itemize}
+    \end{frame}
+
+    \begin{frame}{Performance}
+        \begin{itemize}
+            \item Runs at interactive frame rates:
+            \begin{itemize}
+                \item e.g. 4M samples in $\approx 3$ ms per iteration
+            \end{itemize}
+            %\item Standard deviation of samples/bin decreases monotonically
+            %\item Overplotting fraction also decreases monotonically
+        \end{itemize}
+        \centering
+        \includegraphics[scale=0.4]{rsc/img}\\
+        Source:~\cite{Rave_2025}
+    \end{frame}
+
+    \section{Math: Domain Transformation}
     \begin{frame}{Domain Transformation (Molchanov \& Linsen)}
         \begin{itemize}
             \item Integral Images $\rightarrow$ Transformation mapping