Program
The rantings of a lunatic Scientist
An experiment in augmenting a GAN architecture to use class-labels to guide image synthesis. The generator network takes as input a vector of 1 x 10 random values to use a seed for image synthesis, and a 1 x 10 one-hot vector for the class-label representing the desired digit. In the above image the generated […]
Implemented in Keras from A Neural Algorithm of Artistic Style, Gatys et. al. 2015
While working on my submission to this years SURF Research as Art Competition I realized that if I was to have any hope of rendering the final image at high resolution in a reasonable amount of time I would need more power. To do this I applied node parallelism in the form of a computer […]
After succumbing to a bit of a slump in research productivity over the last week or two it feels great to be making progress again. Finally I have a fully functional implementation of Bidirectional path tracing with some basic multiple importance sampling for the path weights. To celebrate having this new renderer in the code […]
Just a quick render after implementing an Anisotropic Metal material in my renderer. The test scene was inspired by one I saw on Kevin Beason’s worklog blog.
Yesterday I stumbled upon a lesser known and far superior method for mapping points from a square to a disk. The common approach which is presented to you after a quick google for Draw Random Samples on a Disk is the clean and simple mapping from Cartesian to Polar coordinates; i.e. Given a disk centered […]
In monte carlo rendering we need random numbers. Like… a lot of random numbers. In fact if you count every call to the random functions in a single render it can easily surpass a several million numbers. Not only do we need lots of numbers, but we tend to need ones which have certain desirable […]