Jacob Munkberg  

 



  ![](/sites/default/files/person/JacobM.jpg)

  

 Jacob Munkberg is a principal research scientist in NVIDIA's real-time rendering research group.

Prior to joining NVIDIA Research in 2016, Jacob worked as senior research scientist in Intel’s Advanced Rendering Technology team. He joined Intel in 2008 via Intel's acquisition of the computer graphics startup company, Swiftfoot Graphics, specializing in culling technology and efficient multi-view graphics. Jacob received his Ph.D. in computer science from Lund University and his M.S. in engineering physics from Chalmers University of Technology.

Jacob is currently working on machine learning for real-time graphics applications.

A complete list of prior publications can be found [here](http://fileadmin.cs.lth.se/cs/Personal/Jacob_Munkberg/).



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Computer Graphics](/research-area/computer-graphics)

[Computer Vision](/research-area/computer-vision)

[Real-Time Rendering](/research-area/real-time-rendering)

 

 

  

 Main Field of Interest

[Computer Graphics](/research-area/computer-graphics)

 

  

 Google Scholar

<https://scholar.google.com/citations?user=ELzudd8AAAAJ>

 

  

 

 

 



 ### Publications

 

### 2025 

[Generative Detail Enhancement for Physically Based Materials](/publication/2025-07_generative-detail-enhancement-physically-based-materials)

Saeed Hadadan, [Benedikt Bitterli](/person/benedikt-bitterli), [Tizian Zeltner](/person/tizian-zeltner), [Jan Novák](/person/jan-novak), [Fabrice Rousselle](/person/fabrice-rousselle), [Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), [Bart Wronski](/person/bart-wronski), Matthias Zwicker



[SIGGRAPH 2025](https://s2025.siggraph.org/)









### 2023 

[Flexible Isosurface Extraction for Gradient-Based Mesh Optimization](/publication/2023-08_flexible-isosurface-extraction-gradient-based-mesh-optimization)

Tianchang Shen, [Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao



[ACM Transactions On Graphics (SIGGRAPH 2023)](https://dl.acm.org/doi/abs/10.1145/3592430)









[Joint Neural Denoising of Surfaces and Volumes](/publication/2023-03_joint-neural-denoising-surfaces-and-volumes)

Nikolai Hofmann, [Jon Hasselgren](/person/jon-hasselgren), [Jacob Munkberg](/person/jacob-munkberg)



[I3D 2023 ](https://i3dsymposium.org/2023/cfp.html)









### 2022 

[Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising](/publication/2022-10_shape-light-and-material-decomposition-images-using-monte-carlo-rendering-and)

[Jon Hasselgren](/person/jon-hasselgren), Nikolai Hofmann, [Jacob Munkberg](/person/jacob-munkberg)



[NeurIPS 2022](https://nvlabs.github.io/nvdiffrecmc/)









### 2021 

[Extracting Triangular 3D Models, Materials, and Lighting From Images](/index.php/publication/2021-11_extracting-triangular-3d-models-materials-and-lighting-images)

[Jacob Munkberg](/index.php/person/jacob-munkberg), [Jon Hasselgren](/index.php/person/jon-hasselgren), Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, [Thomas Müller](/index.php/person/thomas-muller), Sanja Fidler



[CVPR 2022 (Oral)](https://openaccess.thecvf.com/content/CVPR2022/papers/Munkberg_Extracting_Triangular_3D_Models_Materials_and_Lighting_From_Images_CVPR_2022_paper.pdf)









[Appearance-Driven Automatic 3D Model Simplification](/publication/2021-04_appearance-driven-automatic-3d-model-simplification)

[Jon Hasselgren](/person/jon-hasselgren), [Jacob Munkberg](/person/jacob-munkberg), [Jaakko Lehtinen](/person/jaakko-lehtinen), [Miika Aittala](/person/miika-aittala), [Samuli Laine](/person/samuli-laine)



EGSR 2021









[Interactive Path Tracing and Reconstruction of Sparse Volumes](/publication/2021-03_interactive-path-tracing-and-reconstruction-sparse-volumes)

Nikolai Hofmann, [Jon Hasselgren](/person/jon-hasselgren), [Petrik Clarberg](/person/petrik-clarberg), [Jacob Munkberg](/person/jacob-munkberg)



[Proceedings of the ACM on Computer Graphics and Interactive Techniques](https://dl.acm.org/loi/pacmcgit)



Best Paper Presentation, i3D 2021





### 2020 

[Neural Denoising with Layer Embeddings](/publication/2020-06_neural-denoising-layer-embeddings)

[Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren)



[EGSR 2020](https://diglib.eg.org/handle/10.2312/2632924)









[Neural Temporal Adaptive Sampling and Denoising](/publication/2020-05_neural-temporal-adaptive-sampling-and-denoising)

[Jon Hasselgren](/person/jon-hasselgren), [Jacob Munkberg](/person/jacob-munkberg), Marco Salvi, Anjul Patney, [Aaron Lefohn](/person/aaron-lefohn)



[Computer Graphics Forum (Proceedings of Eurographics 2020) ](https://diglib.eg.org/handle/10.1111/cgf13919)









### 2018 

[Noise2Noise: Learning Image Restoration without Clean Data](/index.php/publication/2018-07_noise2noise-learning-image-restoration-without-clean-data)

Jaakko Lehtinen, [Jacob Munkberg](/index.php/person/jacob-munkberg), [Jon Hasselgren](/index.php/person/jon-hasselgren), [Samuli Laine](/index.php/person/samuli-laine), [Tero Karras](/index.php/person/tero-karras), Miika Aittala, [Timo Aila](/index.php/person/timo-aila)



[Proc. ICML 2018](https://icml.cc/)