Wenzel Jakob

EPFL IC IINFCOM RGL
BC 364 (Bâtiment BC)
Station 14
1015 Lausanne

Expertise

Inverse Graphics, Appearance Modeling, Physically Based Rendering

Mission

I am an associate professor leading the Realistic Graphics Lab at EPFL. My research revolves around inverse graphics, appearance modeling and physically based rendering algorithms. The motivating idea is easily explained: if one could backpropagate derivatives through a rendering algorithm, then it should be possible to employ a variant of gradient descent to run a rendering algorithm «in reverse» and reconstruct the world from images or other kinds of data. This turns out to be harder than one would think, which makes it an interesting research topic. I also enjoy working on compilers systems and tinkering with optical assemblies in our measurement lab. I would like to build a truly robust and general «TensorFlow» for physically realistic inverse graphics and connect it to useful applications in different scientific domains.
I completed my Ph.D. at the Department of Computer Science at Cornell University, where I was advised by Steve Marschner. Before coming to EPFL, I was a Marie Curie postdoctoral fellow at ETH Zürich's Interactive Geometry Lab working with Olga Sorkine-Hornung.
I have received the ACM SIGGRAPH Significant Researcher award, the Eurographics Young Researcher Award, and an ERC Starting Grant. My group develops the Mitsuba renderer, a research-oriented rendering system, and I am one of the authors of the third and fourth editions of Physically Based Rendering: From Theory To Implementation. As part of my research, I have created widely used open source frameworks, including pybind11, Instant Meshes (SGP Software Award recipient), NanoGUI, nanobind, and Enoki.

Awards

Recognized for being in the top 10% of computer science Vordiplom graduates

Karlsruhe Institute of Technology

2007

Outstanding teaching assistant award for the course «Introduction to Scientific Computing»

Cornell U.

2009

ETH COFUND Postdoctoral Fellow

0

ACM SIGGRAPH Significant New Researcher Award

2019

Teaching & PhD

PhD Students

Lovro Nuic, Ekrem Fatih Yilmazer, Ziyi Zhang

Past EPFL PhD Students

Tizian Lucien Zeltner, Merlin Eléazar Nimier-David, Delio Aleardo Vicini, Nicolet Baptiste

Courses

Advanced computer graphics

CS-440

This course covers advanced 3D graphics techniques for realistic image synthesis. Students will learn how light interacts with objects in our world, and how to recreate these phenomena in a computer simulation to create synthetic images that are indistinguishable from photographs.

Numerical methods for visual computing and ML

CS-328

Visual computing and machine learning are characterized by their reliance on numerical algorithms to process large amounts of information such as images, shapes, and 3D volumes. This course will familiarize students with a range of essential numerical tools to solve practical problems in this area.