Wenzel Jakob
Most Recent Affiliation(s):
- École Polytechnique Fédérale de Lausanne (EPFL), Faculty
Other / Past Affiliation(s):
- Cornell University
- Eidgenössische Technische Hochschule (ETH) Zürich
Location:
- Lausanne, Switzerland
Bio:
SIGGRAPH 2015
Wenzel Jakob is a Marie Curie Postdoctoral Fellow at ETH Zurich in the Institute for Visual Computing. He obtained his PhD in 2013 under the supervision of Dr. Steve Marschner at Cornell University and conducted his undergraduate studies at the Karlsruhe Institute of Technology. Wenzel’s experience includes research and development work at Disney Research Zurich and Weta Digital, and he is the lead developer of Mitsuba, a research-oriented open source rendering system that has become a popular research platform in rendering and appearance modeling.
SIGGRAPH 2012
Wenzel Jakob is a 4th year Ph.D. student at Cornell University advised by Dr. Steve Marschner. His research interests focus on robust bidirectional light transport algorithms, volumetric light transport and material appearance modeling. He is the designer of Mitsuba, a research-oriented rendering system.
Learning Category: Jury Member:
Award(s):
Learning Category: Presentation(s):
![Recursive Control Variates for Inverse Rendering](https://history.siggraph.org/wp-content/uploads/2024/02/2023-Tech-Papers-Nicolet_Recursive-Control-Variates-for-Inverse-Rendering-150x150.jpg)
Type: [Technical Papers]
Recursive Control Variates for Inverse Rendering Presenter(s): [Nicolet] [Rousselle] [Novák] [Keller] [Jakob] [Müller]
[SIGGRAPH 2023]
![Differentiable signed distance function rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Vicini_-Differentiable-Signed-Distance-Function-Rendering-150x150.jpg)
Type: [Technical Papers]
Differentiable signed distance function rendering Presenter(s): [Vicini] [Speierer] [Jakob]
[SIGGRAPH 2022]
![DR.JIT: a just-in-time compiler for differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/06/2022-Technical-Papers-Jakob_-Dr.Jit-A-Just-in-time-Compiler-for-Differentiable-Rendering-150x150.jpg)
Type: [Technical Papers]
DR.JIT: a just-in-time compiler for differentiable rendering Presenter(s): [Jakob] [Speierer] [Roussel] [Vicini]
[SIGGRAPH 2022]
![Unbiased inverse volume rendering with differential trackers](https://history.siggraph.org/wp-content/uploads/2023/10/2022-Technical-Paper-Nimier-David_Unbiased-Inverse-Volume-Rendering-With-Differential-Trackers-150x150.jpg)
Type: [Technical Papers]
Unbiased inverse volume rendering with differential trackers Presenter(s): [Nimier-David] [Müller] [Keller] [Jakob]
[SIGGRAPH 2022]
![A non-exponential transmittance model for volumetric scene representations](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Vicini_A-Non-Exponential-Transmittance-Model-for-Volumetric-Scene-Representations-150x150.jpg)
Type: [Technical Papers]
A non-exponential transmittance model for volumetric scene representations Presenter(s): [Vicini] [Jakob] [Kaplayan]
[SIGGRAPH 2021]
![Monte Carlo estimators for differential light transport](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Zeltner_Monte-Carlo-Estimators-for-Differential-Light-Transport-150x150.jpg)
Type: [Technical Papers]
Monte Carlo estimators for differential light transport Presenter(s): [Zeltner] [Speierer] [Georgiev] [Jakob]
[SIGGRAPH 2021]
![Path replay backpropagation: differentiating light paths using constant memory and linear time](https://history.siggraph.org/wp-content/uploads/2023/06/2021-Technical-Papers-Vicini_Path-Replay-Backpropagation_-Differentiating-Light-Paths-using-Constant-Memory-and-Linear-Time-150x150.jpg)
Type: [Technical Papers]
Path replay backpropagation: differentiating light paths using constant memory and linear time Presenter(s): [Vicini] [Speierer] [Jakob]
[SIGGRAPH 2021]
![Image-Based Acquisition and Modeling of Polarimetric Reflectance](https://history.siggraph.org/wp-content/uploads/2022/08/2020-Technical-Papers-Baek_Image-Based-Acquisition-and-Modeling-of-Polarimetric-Reflectance-01-150x150.jpg)
Type: [Technical Papers]
Image-Based Acquisition and Modeling of Polarimetric Reflectance Presenter(s): [Baek] [Zeltner] [Ku] [Hwang] [Tong] [Jakob] [Kim]
[SIGGRAPH 2020]
![Physics-Based Differentiable Rendering: From Theory to Implementation](https://history.siggraph.org/wp-content/uploads/2022/03/2020-11-Physics-based..-150x150.jpg)
Type: [Courses]
Physics-Based Differentiable Rendering: From Theory to Implementation Organizer(s): [Zhao]
Presenter(s): [Jakob] [Li]
Entry No.: [11]
[SIGGRAPH 2020]
![Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Nimier-David_Radiative-Backpropagation-150x150.jpg)
Type: [Technical Papers]
Radiative backpropagation: an adjoint method for lightning-fast differentiable rendering Presenter(s): [Nimier-David] [Speierer] [Ruiz] [Jakob]
[SIGGRAPH 2020]
![Specular Manifold Sampling for Rendering High-frequency Caustics and Glints](https://history.siggraph.org/wp-content/uploads/2023/02/2020-Technical-Papers-Zeltner_Specular-Manifold-Sampling-for-Rendering-High-Frequency-Caustics-and-Glints-150x150.jpg)
Type: [Technical Papers]
Specular Manifold Sampling for Rendering High-frequency Caustics and Glints Presenter(s): [Zeltner] [Georgiev] [Jakob]
[SIGGRAPH 2020]
![A learned shape-adaptive subsurface scattering model](https://history.siggraph.org/wp-content/uploads/2023/01/2019-Technical-Papers-Vicini_A-Learned-Shape-Adaptive-Subsurface-Scattering-Model-150x150.jpg)
Type: [Technical Papers]
A learned shape-adaptive subsurface scattering model Presenter(s): [Vicini] [Koltun] [Jakob]
[SIGGRAPH 2019]
![PathTracing in Production Part 2](https://history.siggraph.org/wp-content/uploads/2022/02/2019-20-PathTracing-in-Production-Part-2-150x150.jpg)
Type: [Courses]
PathTracing in Production Part 2 Organizer(s): [Fascione] [Hanika]
Presenter(s): [Fascione] [Hanika] [Jakob] [Weidlich] [Pieké] [Tang] [Beddini]
Entry No.: [20]
[SIGGRAPH 2019]
![Reversible Jump Metropolis Light Transport Using Inverse Mappings](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Bitterli_Reversible-Jump-Metropolis-Light-Transport-Using-Inverse-Mappings-150x150.jpg)
Type: [Technical Papers]
Reversible Jump Metropolis Light Transport Using Inverse Mappings Presenter(s): [Bitterli] [Jakob] [Novák] [Jarosz]
[SIGGRAPH 2018]
![The layer laboratory: a calculus for additive and subtractive composition of anisotropic surface reflectance](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Zeltner_The-Layer-Laboratory_-A-Calculus-for-Additive-and-Subtractive-Composition-of-Anisotropic-Surface-Reflectance-150x150.jpg)
Type: [Technical Papers]
The layer laboratory: a calculus for additive and subtractive composition of anisotropic surface reflectance Presenter(s): [Zeltner] [Jakob]
Entry No.: [74]
[SIGGRAPH 2018]
![Field-aligned online surface reconstruction](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Schertler_Field-Aligned-Online-Surface-Reconstruction-150x150.jpg)
Type: [Technical Papers]
Field-aligned online surface reconstruction Presenter(s): [Schertler] [Tarini] [Jakob] [Kazhdan] [Gumhold] [Panozzo]
[SIGGRAPH 2017]
![Robust hex-dominant mesh generation using field-guided polyhedral agglomeration](https://history.siggraph.org/wp-content/uploads/2023/02/2017-Technical-Papers-Gao_Robust-Hex-Dominant-Mesh-Generation-using-Field-Guided-Polyhedral-Agglomeration-150x150.jpg)
Type: [Technical Papers]
Robust hex-dominant mesh generation using field-guided polyhedral agglomeration Presenter(s): [Gao] [Jakob] [Tarini] [Panozzo]
[SIGGRAPH 2017]
![Physically Based Shading in Theory and Practice](https://history.siggraph.org/wp-content/uploads/2022/01/2015-15-Physically-Based-Shading-in-Theory-and-Practice-150x150.jpg)
Type: [Courses]
Physically Based Shading in Theory and Practice Organizer(s): [McAuley]
Presenter(s): [McAuley] [Hill] [Jakob] [Hoffman] [Neubelt] [Pettineo] [Pesce] [Iwanicki] [Chan] [Burley] [Fascione]
Entry No.: [15]
[SIGGRAPH 2015]
![A comprehensive framework for rendering layered materials](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Jakob_A-Comprehensive-Framework-for-Rendering-Layered-Materials-150x150.jpg)
Type: [Technical Papers]
A comprehensive framework for rendering layered materials Presenter(s): [Jakob] [d’Eon] [Jakob] [Marschner]
[SIGGRAPH 2014]
![Discrete stochastic microfacet models](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Jakob_Discrete-Stochastic-Microfacet-Models-150x150.jpg)
Type: [Technical Papers]
Discrete stochastic microfacet models Presenter(s): [Jakob] [Marschner] [Yan] [Hasan] [Ramamoorthi] [Lawrence]
[SIGGRAPH 2014]
![Rendering glints on high-resolution normal-mapped specular surfaces](https://history.siggraph.org/wp-content/uploads/2023/02/2014-Technical-Papers-Yan_Rendering-Glints-on-High-Resolution-Normal-Mapped-Specular-Surfaces-150x150.jpg)
Type: [Technical Papers]
Rendering glints on high-resolution normal-mapped specular surfaces Presenter(s): [Yan] [Hasan] [Jakob] [Lawrence] [Marschner] [Ramamoorthi]
[SIGGRAPH 2014]
![Manifold exploration: a Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport](https://history.siggraph.org/wp-content/uploads/2023/03/2012-Technical-Papers-Jakob_Manifold-Exploration_-A-Markov-Chain-Monte-Carlo-Technique-for-Rendering-Scenes-with-Difficult-Specular-Transport-150x150.jpg)
Type: [Technical Papers]
Manifold exploration: a Markov Chain Monte Carlo technique for rendering scenes with difficult specular transport Presenter(s): [Jakob] [Marschner]
[SIGGRAPH 2012]
![State of the Art in Photon-Density Estimation](https://history.siggraph.org/wp-content/uploads/2022/01/2012-26-State-of-the-Art-in-Photon-Density-Estimation-150x150.jpg)
Type: [Courses]
State of the Art in Photon-Density Estimation Organizer(s): [Hachisuka] [Jarosz]
Presenter(s): [Hachisuka] [Jarosz] [Bouchard] [Christensen] [Frisvad] [Jakob] [Jensen] [Kaschalk] [Knaus] [Selle] [Spencer]
Entry No.: [26]
[SIGGRAPH 2012]
![Structure-aware synthesis for predictive woven fabric appearance](https://history.siggraph.org/wp-content/uploads/2023/03/2012-Technical-Papers-Zhao_Structure-aware-Synthesis-for-Predictive-Woven-Fabric-Appearance-150x150.jpg)
Type: [Technical Papers]
Structure-aware synthesis for predictive woven fabric appearance Presenter(s): [Zhao] [Bala] [Marschner] [Jakob]
[SIGGRAPH 2012]
Learning Category: Moderator:
![Bayesian online regression for adaptive direct illumination sampling](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Vevoda_Bayesian-online-regression-for-adaptive-direct-illumination-sampling-150x150.jpg)
Type: [Technical Papers]
Bayesian online regression for adaptive direct illumination sampling Presenter(s): [Vévoda] [Kondapaneni] [Křivánek]
Entry No.: [125]
[SIGGRAPH 2018]
![Deep image-based relighting from optimal sparse samples](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Xu_Deep-Image-Based-Relighting-from-Optimal-Sparse-Samples-150x150.jpg)
Type: [Technical Papers]
Deep image-based relighting from optimal sparse samples Presenter(s): [Xu] [Sunkavalli] [Hadap] [Ramamoorthi]
Entry No.: [126]
[SIGGRAPH 2018]
![Denoising with kernel prediction and asymmetric loss functions](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Vogels_Denoising-with-Kernel-Prediction-and-Asymmetric-Loss-Functions-150x150.jpg)
Type: [Technical Papers]
Denoising with kernel prediction and asymmetric loss functions Presenter(s): [Vogels] [Rousselle] [Mcwilliams] [Röthlin] [Harvill] [Adler] [Meyer] [Novák]
Entry No.: [124]
[SIGGRAPH 2018]
![Efficient reflectance capture using an autoencoder](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Kang_Efficient-Reflectance-Capture-Using-an-Autoencoder-150x150.jpg)
Type: [Technical Papers]
Efficient reflectance capture using an autoencoder Presenter(s): [Kang] [Chen] [Wang] [Zhou] [Wu]
Entry No.: [127]
[SIGGRAPH 2018]
![Single-image SVBRDF capture with a rendering-aware deep network](https://history.siggraph.org/wp-content/uploads/2023/02/2018-Technical-Papers-Deschaintre_Single-Image-SVBRDF-Capture-with-a-Rendering-Aware-Deep-Network-150x150.jpg)
Type: [Technical Papers]
Single-image SVBRDF capture with a rendering-aware deep network Presenter(s): [Deschaintre] [Aittala] [Durand] [Drettakis] [Bousseau]
Entry No.: [128]
[SIGGRAPH 2018]
![Multi-scale rendering of scratched materials using a structured SV-BRDF model](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Raymond_Multi-Scale-Rendering-of-Scratched-Materials-using-a-Structured-SV-BRDF-Model-1-150x150.jpg)
Type: [Technical Papers]
Multi-scale rendering of scratched materials using a structured SV-BRDF model Presenter(s): [Raymond] [Guennebaud] [Barla]
[SIGGRAPH 2016]
![Multiple-scattering microfacet BSDFs with the Smith model](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Heitz_Multiple-Scattering-Microfacet-BSDFs-with-the-Smith-Model-150x150.jpg)
Type: [Technical Papers]
Multiple-scattering microfacet BSDFs with the Smith model Presenter(s): [Heitz] [Hanika] [d’Eon] [Dachsbacher]
[SIGGRAPH 2016]
![Position-normal distributions for efficient rendering of specular microstructure](https://history.siggraph.org/wp-content/uploads/2023/02/2016-Technical-Papers-Yan_Position-Normal-Distributions-for-Efficient-Rendering-of-Specular-Microstructure-150x150.jpg)
Type: [Technical Papers]
Position-normal distributions for efficient rendering of specular microstructure Presenter(s): [Yan] [Hasan] [Marschner] [Ramamoorthi]
[SIGGRAPH 2016]
![Predicting Appearance From Measured Microgeometry of Metal Surfaces](https://history.siggraph.org/wp-content/uploads/2022/06/2016-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Predicting Appearance From Measured Microgeometry of Metal Surfaces Presenter(s): [Dong] [Walter] [Marschner] [Greenberg]
[SIGGRAPH 2016]
![Completed Luminaires: Illumination and Appearance Rendering](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Completed Luminaires: Illumination and Appearance Rendering Presenter(s): [Velázquez-Armendáriz] [Dong] [Walter] [Greenberg]
[SIGGRAPH 2015]
![Directional Dipole Model for Subsurface Scattering](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Directional Dipole Model for Subsurface Scattering Presenter(s): [Frisvad] [Hachisuka] [Kjeldsen]
[SIGGRAPH 2015]
![Hyperspectral Modeling of Skin Appearance](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
Hyperspectral Modeling of Skin Appearance Presenter(s): [Chen] [Wallez] [Kimmel] [Miranda]
[SIGGRAPH 2015]
![Multi-scale modeling and rendering of granular materials](https://history.siggraph.org/wp-content/uploads/2023/04/2015-Technical-Papers-Meng_Multi-Scale-Modeling-and-Rendering-of-Granular-Materials-150x150.jpg)
Type: [Technical Papers]
Multi-scale modeling and rendering of granular materials Presenter(s): [Meng] [Papas] [Habel] [Dachsbacher] [Marschner] [Gross] [Jarosz]
[SIGGRAPH 2015]
![The SGGX microflake distribution](https://history.siggraph.org/wp-content/uploads/2022/07/2015-SIGGRAPH-Image-Not-Available-150x150.jpg)
Type: [Technical Papers]
The SGGX microflake distribution Presenter(s): [Heitz] [Dupuy] [Crassin] [Dachsbacher]
[SIGGRAPH 2015]
Role(s):
- Awardee
- Course Presenter
- Technical Paper Moderator
- Technical Paper Presenter
- Technical Papers Jury Member