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presentation/notes.md

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+# 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
+
+## Inverse Rendering - Results in this paper
+
+- ADAM: talk by Mr. Wu