We compare multiple synthesis techniques to one another as well as the real data that they seek to replicate. We also introduce learned synthesis techniques that either train models better than the most realistic graphical methods used by standard rendering packages or else approach their fidelity using far less computation. We accomplish this by learning shading of geometry as well as denoising the results of low sample Monte Carlo image synthesis. Our major contributions are (i) a dataset that allows comparison of real and synthetic versions of the same scene, (ii) an augmented data representation that boosts the stability of learning, and (iii) three different partially differentiable rendering techniques where lighting, denoising and shading are learned. Finally we are able to generate datasets that can outperform full global illumination rendering and approach the performance of training on real data.
Advanced Financial Economics: Corporate Finance, for PhD students at
Humboldt-Universität zu Berlin.
winter 2016: course + lab; ( ) ; summer 2016: course + lab ( ) , summer 2015: course, lab ( ); summer 2014: course, lab ( ); winter 2012: course, lab ( )
You should enter your doctoral programme in October at the start of the academic year if at all possible. This is when taught modules commence within the School, as does the University’s research training programme and the widest array of training courses. After the training-needs assessment with your supervisor you may be asked to attend one or more first semester modules commencing in October and, if the training is deemed essential to your programme, this may be a requirement for any offer of a place.
October is also the start of the academic year for all students, with a formal induction programme as well as a vibrant calendar of events, and you’ll definitely benefit socially if you start your studies with other new students.