handout/diagrams/area_sampling.tex

@@ -21,7 +21,7 @@
     % occlusion tri
     \draw[
         fill,
-        darkgray
+        red
     ] (3,2) -- (4.5,0.2) -- (6,3);
 
     % samples
@@ -33,5 +33,5 @@
             5/0.5,
             5/2.5
         }
-    \node[fill = black] at (\x,\y) {};
+    \node[fill = yellow] at (\x,\y) {};
 \end{tikzpicture}

handout/diagrams/diagramm_occlusion.tex

@@ -1,24 +1,24 @@
 \begin{tikzpicture}[scale = 0.9, every node/.style={scale=0.9}]
   
-    \def\raynum{18}
+    \def\raynum{60}
 
     \foreach \x in {0,...,\raynum} {
-        \ifthenelse{\x < 3 \OR \x>15}
+        \ifthenelse{\x < 10 \OR \x>50}
         {
-            \draw[color = black] (\x /\raynum * 6 ,0) -- (3,4);
+            \draw[color = darkgray] (\x /\raynum * 6 ,0) -- (3,4);
         }{
-            \draw[color = lightgray] (\x /\raynum * 6 ,0) -- (3,4);
+            \draw[color = red] (\x /\raynum * 6 ,0) -- (3,4);
  
         }
     }
 
     \fill[
         white
-    ] (1.48,1) -- (4.52,1) -- (5.02,0) -- (0.98,0) -- cycle;
+    ] (1.49,1) -- (4.51,1) -- (5.01,0) -- (0.99,0) -- cycle;
 
 
-    \draw [color=black] (0,0) -- node[below]{wall} (6,0) ; % wall
+    \draw [color=darkgray] (0,0) -- node[below]{wall} (6,0) ; % wall
-    \draw [color=black](1.5,1) -- node[below]{blocker} (4.5,1); %blocker
+    \draw [color=red](1.5,1) -- node[below]{blocker} (4.5,1); %blocker
 
     %cam
     \node[
@@ -37,11 +37,11 @@
 
 
     \fill[
-        gray
+        red
     ] (5,3) -- (6.7,3) -- (6.7,3.3) -- (5,3.3) -- cycle; 
 
-    \draw[black] (8,2) coordinate (darkgray_ray_isec) -- (5,5) coordinate (orig);
+    \draw[darkgray] (8,2) coordinate (darkgray_ray_isec) -- (5,5) coordinate (orig);
-    \draw[gray] (6.4,3.3) coordinate (red_ray_isec) -- (5,5);
+    \draw[red] (6.4,3.3) coordinate (red_ray_isec) -- (5,5);
 
     %line
     \draw (mag.north east) -- (7,2);

handout/diagrams/edge_sampling.tex

@@ -22,7 +22,7 @@
     % occlusion tri
     \draw[
         fill,
-        darkgray
+        red
     ] (3,2) -- (4.5,0.2) -- (6,3);
 
     % samples
@@ -33,10 +33,10 @@
             3.5/2.5,
             5.5/0.5
         }
-    \node[fill = black] at (\x,\y) {};
+    \node[fill = yellow] at (\x,\y) {};
 
     \node[
-        fill = black,
+        fill = yellow,
-        fill opacity = 0.5,
+        fill opacity = 0.4,
     ] at (4.5,1.5) {};
 \end{tikzpicture}

handout/diagrams/geometry_term_diff.tex

@@ -5,8 +5,8 @@
             \draw[->] (-0.2,-0.5) -- (2.2,-0.5) node[right] {$\omega$};
             \draw[->] (0,-0.7) -- (0,2.2) node[above] {$V(x,\omega)$};
 
-            \draw (0,0) -- (1,0) plot coordinates {(0,0)  (1,0)}[color=black];
+            \draw (0,0) -- (1,0) plot coordinates {(0,0)  (1,0)}[color=red];
-            \draw (1,1) -- (2,1) plot coordinates {(1,1)  (2,1)}[color=black];
+            \draw (1,1) -- (2,1) plot coordinates {(1,1)  (2,1)}[color=red];
             \draw (0,0) node[left] {$0$};
             \draw (0,1) node[left] {$1$};
             \draw (1,-0.7) node[below] {$\omega_0$};
@@ -21,11 +21,11 @@
                 \draw[->] (-0.2,-0.5) -- (2.2,-0.5) node[right] {$\omega$};
                 \draw[->] (0,-0.7) -- (0,2.2) node[above] {$\frac{\partial}{\partial\omega}V(x,\omega)$};
 
-                \draw (0,0) -- (2,0) plot coordinates {(0,0)  (2,0)}[color=black];
+                \draw (0,0) -- (2,0) plot coordinates {(0,0)  (2,0)}[color=red];
                 \draw (0,0) node[left] {$0$};
                 \draw (0,1) node[left] {$1$};
                 \draw (0,2) node[left] {$\infty$};
-                \draw (1,2) node[color=black] {$\bullet$};
+                \draw (1,2) node[color=red] {$\bullet$};
                 \draw (1,-0.7) node[below] {$\omega_0$};
             \end{tikzpicture}
     }

handout/diagrams/halfspaces.tex

@@ -7,7 +7,7 @@
 
     \draw[
         fill,
-        gray
+        red
     ] (-2, -3) -- (-2,-4) -- (2,-6) -- (4.3,-6) -- (4.3,-4) -- cycle;
 
     \draw[
@@ -17,12 +17,12 @@
 
     \draw[
         fill,
-        darkgray
+        blue
     ]  (1.7,-2) circle (15pt);
 
     \draw[
         fill,
-        darkgray
+        blue
     ]  (0.4,-4.2) circle (15pt);
 
     \node (fu) at (1.4,-1) {\LARGE $f_u$ $(+)$};

handout/handout.tex

@@ -1,3 +1,4 @@
+%\newcommand{\CLASSINPUTtoptextmargin}{1.5cm}
 \newcommand{\CLASSINPUTbottomtextmargin}{2.5cm}
 \documentclass[conference, a4paper, hidelinks]{IEEEtran}
 
@@ -36,7 +37,6 @@
 \usepackage{amsfonts}
 \usepackage{caption}
 \DeclareCaptionType{eqcap}[Equation][List of equations]
-\usepackage[T1]{fontenc}
 
 \usepackage{tikz}
 \usetikzlibrary{calc,
@@ -143,13 +143,13 @@ Given this function and a set of target images the inverse rendering problem can
 \begin{figure}[h]
     \centering
     \subfloat[initial guess]{
-        \includegraphics[width=0.3\linewidth]{../presentation/img/results/guess-bw.png}
+        \includegraphics[width=0.3\linewidth]{../presentation/img/results/guess.png}
     }
     \subfloat[optimized result]{
-        \includegraphics[width=0.3\linewidth]{../presentation/img/results/result-bw.png}\label{fig:result_image}
+        \includegraphics[width=0.3\linewidth]{../presentation/img/results/result.png}\label{fig:result_image}
     }
     \subfloat[target]{
-        \includegraphics[width=0.3\linewidth]{../presentation/img/results/photo-bw.png}
+        \includegraphics[width=0.3\linewidth]{../presentation/img/results/photo.png}
     }
     \caption{A generic example for how differentiable ray tracing can be used to approximate a solution for the inverse rendering problem.}\label{fig:inverse_rendering_example}
 \end{figure}

presentation/diagrams/raytracing_anim.tex

@@ -41,7 +41,7 @@
         \begin{tikzpicture}
             % scene seite
             \node[above] at (2,2) {side view};
-            \node[below] at (2,-0.5) {\footnotesize (no indirect lighting)};
+            \node[below] at (2,-0.5) {(no indirect lighting)};
 
             \draw[
                 kit-green100

presentation/modules/basic_terms.tex

@@ -68,10 +68,10 @@
     \input{diagrams/raytracing_anim}    
 \end{frame}
 
-%\begin{frame}{Image synthesis~-~Optical Phenomena}
+\begin{frame}{Image synthesis~-~Optical Phenomena}
-%    \centering
+    \centering
-%    \includegraphics[width=0.38\linewidth]{proseminar_cycles_annotated.png}
+    \includegraphics[width=0.38\linewidth]{proseminar_cycles_annotated.png}
-%\end{frame}
+\end{frame}
 
 \subsection{Differentiable Rendering}
 \begin{frame}{Differentiable Rendering}

presentation/modules/motivation.tex

@@ -65,7 +65,6 @@ with Differentiable Monte Carlo Raytracing [\cite{ACM:inverse_rendering}]\\
         \end{itemize}
         \pause{}
         \vspace{15mm}
-        \footnotesize
         Image source: Auth0, \href{https://auth0.com/blog/captcha-can-ruin-your-ux-here-s-how-to-use-it-right/}{CAPTCHA Can Ruin Your UX. Here’s How to Use it Right}
     \end{minipage}
     \begin{minipage}{0.5\linewidth}

presentation/modules/problems.tex

@@ -1,5 +1,5 @@
 \section{Problems}
-%  \begin{frame}
+% \begin{frame}
 %     \centering
 %     \Huge
 %     Problems

presentation/modules/this_method.tex

@@ -9,9 +9,9 @@
     \setbeamercovered{transparent}
     \begin{block}{Assumptions}
         \begin{itemize}
+            \item Continuous parameter set
             \item Triangle meshes
             \item No interpenetrating triangles
-            \item Continuous parameter set
             \item No point lights, no perfectly specular surfaces
             \item Ignore time domain
         \end{itemize}
@@ -66,8 +66,8 @@
         \[
             \sum_i\iint
             \underbrace{\theta(}_{\text{Step function}}
-            \underbrace{\alpha_i(x,y)}_{\text{Edge equation}})
+            \underbrace{\alpha_i(x,y)}_{\text{Edge equation formed by the triangle edge}})
-            \underbrace{f_i(x,y)}_{\text{Half space}}
+            \underbrace{f_i(x,y)}_{\text{Half space (may contain Heaviside step functions itself)}}
         \]
         }
     
@@ -87,66 +87,47 @@
         
 \end{frame}
 
-\begin{frame}{Inverse Rendering~-~Example from this Paper}
+\begin{frame}{Inverse Rendering~-~Results in this Paper}
-    \centering
+    \begin{block}{Inverse rendering here}
-    \begin{minipage}{0.19\linewidth}
+        \begin{itemize}
-        \begin{figure}
+            \item Parameters: Camera pose, material parameters, light source intensity
-            \centering
+            \item Scene: Strong indirect illumination and non lambertian materials
-            \includegraphics[width=\linewidth]{img/teapot_video/teapot_init.png}
+            \item Initial guess: Almost all objects white, arbitrary camera pose
-            \vspace{0mm}
+            \item 177 parameters
-            \caption{initial guess}\label{fig:teapot_init}
+            \item Loss function: Absolute difference
-        \end{figure}
+            \item ADAM optimizer
-    \end{minipage}
+            \item Start resolution of $64\times 64$, linearly increase to $512\times 512$ in 8 steps\\
-        \begin{minipage}{0.19\linewidth}
+            $\implies$ Avoid local minima of the loss function
-        \begin{figure}
+        \end{itemize}
-            \centering
+    \end{block}
-            \includegraphics[width=\linewidth]{img/teapot_video/teapot_init_diff.png}
-            \caption{difference\\
-            initial $\leftrightarrow$ target}\label{fig:teapot_init_diff}
-        \end{figure}
-    \end{minipage}
-        \begin{minipage}{0.19\linewidth}
-        \begin{figure}
-            \centering
-            \includegraphics[width=\linewidth]{img/teapot_video/teapot_target.png}
-            \vspace{0mm}
-            \caption{target image}\label{fig:teapot_target}
-        \end{figure}
-    \end{minipage}
-        \begin{minipage}{0.19\linewidth}
-        \begin{figure}
-            \centering
-            \includegraphics[width=\linewidth]{img/teapot_video/teapot_final_diff.png}
-            \caption{difference\\
-            final $\leftrightarrow$ target}\label{fig:teapot_final_diff}
-        \end{figure}
-    \end{minipage}
-    \begin{minipage}{0.19\linewidth}
-        \begin{figure}
-            \centering
-            \includegraphics[width=\linewidth]{img/teapot_video/teapot_final.png}
-            \vspace{0mm}
-            \caption{final image}\label{fig:teapot_final}
-        \end{figure}
-    \end{minipage}
 \end{frame}
 
-\begin{frame}{Inverse Rendering~-~Example from this Paper}
+\begin{frame}{Inverse Rendering~-~Results in this Paper}
+\begin{center}
+    \begin{minipage}{0.25\linewidth}
+    \begin{figure}
         \centering
-  \includemedia[
+        \includegraphics[width=\linewidth]{img/results/guess.png}
-    width=0.62\linewidth,height=0.35\linewidth,
+        \caption{Initial guess}\label{fig:results-guess}
-    activate=onclick,
+    \end{figure}
-    addresource=teapot.mp4,
+    \end{minipage}
-    playbutton=fancy,
+    \hspace{2mm}
-    transparent,
+    \begin{minipage}{0.25\linewidth}
-    passcontext,
+    \begin{figure}
-    flashvars={
+        \centering
-        source=teapot.mp4
+        \includegraphics[width=\linewidth]{img/results/photo.png}
-        &autoPlay=true
+        \caption{Target (photograph)}\label{fig:results-target}
-    }
+    \end{figure}
-  ]{}{VPlayer.swf}
+    \end{minipage}
-  \\ 
+    \hspace{2mm}
-  All media in this section taken from~\cite{ACM:diffable_raytracing}
+    \begin{minipage}{0.25\linewidth}
+    \begin{figure}
+        \centering
+        \includegraphics[width=\linewidth]{img/results/result.png}
+        \caption{Optimized image}\label{fig:results-optimized}
+    \end{figure}
+    \end{minipage}
+\end{center}
 \end{frame}
 
 \begin{frame}
@@ -250,47 +231,66 @@
     \end{figure}
 \end{frame}
 
-\begin{frame}{Inverse Rendering~-~Results in this Paper}
+\begin{frame}{Inverse Rendering~-~Example from this Paper}
-    \begin{block}{Inverse rendering here}
+    \centering
-        \begin{itemize}
+    \begin{minipage}{0.19\linewidth}
-            \item Parameters: Camera pose, material parameters, light source intensity
+        \begin{figure}
-            \item Scene: Strong indirect illumination and non lambertian materials
+            \centering
-            \item Initial guess: Almost all objects white, arbitrary camera pose
+            \includegraphics[width=\linewidth]{img/teapot_video/teapot_init.png}
-            \item 177 parameters
+            \vspace{0mm}
-            \item Loss function: Absolute difference
+            \caption{initial guess}\label{fig:teapot_init}
-            \item ADAM optimizer
+        \end{figure}
-            \item Start resolution of $64\times 64$, linearly increase to $512\times 512$ in 8 steps\\
+    \end{minipage}
-            $\implies$ Avoid local minima of the loss function
+        \begin{minipage}{0.19\linewidth}
-        \end{itemize}
+        \begin{figure}
-    \end{block}
+            \centering
+            \includegraphics[width=\linewidth]{img/teapot_video/teapot_init_diff.png}
+            \caption{difference\\
+            initial $\leftrightarrow$ target}\label{fig:teapot_init_diff}
+        \end{figure}
+    \end{minipage}
+        \begin{minipage}{0.19\linewidth}
+        \begin{figure}
+            \centering
+            \includegraphics[width=\linewidth]{img/teapot_video/teapot_target.png}
+            \vspace{0mm}
+            \caption{target image}\label{fig:teapot_target}
+        \end{figure}
+    \end{minipage}
+        \begin{minipage}{0.19\linewidth}
+        \begin{figure}
+            \centering
+            \includegraphics[width=\linewidth]{img/teapot_video/teapot_final_diff.png}
+            \caption{difference\\
+            final $\leftrightarrow$ target}\label{fig:teapot_final_diff}
+        \end{figure}
+    \end{minipage}
+    \begin{minipage}{0.19\linewidth}
+        \begin{figure}
+            \centering
+            \includegraphics[width=\linewidth]{img/teapot_video/teapot_final.png}
+            \vspace{0mm}
+            \caption{final image}\label{fig:teapot_final}
+        \end{figure}
+    \end{minipage}
 \end{frame}
 
-\begin{frame}{Inverse Rendering~-~Results in this Paper}
+\begin{frame}{Inverse Rendering~-~Example from this Paper}
-\begin{center}
-    \begin{minipage}{0.25\linewidth}
-    \begin{figure}
         \centering
-        \includegraphics[width=\linewidth]{img/results/guess.png}
+  \includemedia[
-        \caption{Initial guess}\label{fig:results-guess}
+    width=0.62\linewidth,height=0.35\linewidth,
-    \end{figure}
+    activate=onclick,
-    \end{minipage}
+    addresource=teapot.mp4,
-    \hspace{2mm}
+    playbutton=fancy,
-    \begin{minipage}{0.25\linewidth}
+    transparent,
-    \begin{figure}
+    passcontext,
-        \centering
+    flashvars={
-        \includegraphics[width=\linewidth]{img/results/photo.png}
+        source=teapot.mp4
-        \caption{Target (photograph)}\label{fig:results-target}
+        &autoPlay=true
-    \end{figure}
+    }
-    \end{minipage}
+  ]{}{VPlayer.swf}
-    \hspace{2mm}
+  \\ 
-    \begin{minipage}{0.25\linewidth}
+  All media in this section taken from~\cite{ACM:diffable_raytracing}
-    \begin{figure}
-        \centering
-        \includegraphics[width=\linewidth]{img/results/result.png}
-        \caption{Optimized image}\label{fig:results-optimized}
-    \end{figure}
-    \end{minipage}
-\end{center}
 \end{frame}
 
 \subsection{Conclusion~-~What can this Method do?}

presentation/notes.md

@@ -1,58 +0,0 @@
-# Notes diffable Monte carlo RT
-
-## Raytracing formula
-
-- geometry term discussed later
-- Emission + All light reflected towards point
-- Yields infinite recursion -> not calculable
-
-## Visualization
-
-- Explain image
-- No indirect lighting!
-- Output image is what we would expect (explain shade)
-
-## Differentiable rendering
-
-- That function is dependent on renderer
-- Renderer needs to be differentiable
-
-## Importance
-
-- Inversely render complex indoor scenes
-- "Fool" neural network
-- Real time realistic shading in AR
-- Application in maritime research
-
-## Adversarial image generation
-
-- Example for classification on slide 2!
-- Fool neural netweork into wrongly classifying input data
-  - Optimize Image into wrong class
- 
-## Why differentiable rendering is hard
-
-- Example later
-- geometry term explanation later
-
-## Former methods visualization 
-
-- Plane lit by a point light source.
-- gradient with respect to the plane moving right
-- light source remains static => the gradient should only be $\ne 0$ at the boundaries
-- OpenDR and Neural  not able to correctly calculate the gradients
-  -  they are based on color buffer differences
- 
-## Edge sampling
-
-- Approximate point lights using small area lights
-- Specular => angle of incidence = angle of light reflected
-- only lambertian materials
-
-## Edge Sampling - Math Background
-
-- Heaviside step functions in $f_i(x,y)$
-
-## Inverse Rendering - Results in this paper
-
-- ADAM: talk by Mr. Wu

presentation/presentation.tex

@@ -16,7 +16,7 @@
 
 \titleimage{logo_rt.pdf}
 
-\newcommand{\presentationdate}{July 26 2023}
+\newcommand{\presentationdate}{\emph{set date here}}
 
 %% Gruppenlogo
 \grouplogo{} 
@@ -27,7 +27,7 @@
 
 % Beginn der Präsentation
 
-\title[Differentiable Monte Carlo Ray Tracing through Edge Sampling]{Differentiable Monte Carlo Ray Tracing through Edge Sampling [\cite{ACM:diffable_raytracing}]}
+\title[Differentiable Monte Carlo Ray Tracing through Edge Sampling]{Differentiable Monte Carlo Ray Tracing through Edge Sampling}
 \subtitle{Presentation for the Proseminar ``Differentiable Programming``} 
 \author[Clemens Dautermann]{Clemens Dautermann}