Jon Hasselgren  

 



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

  

   

 

 



 ### 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](/publication/2021-11_extracting-triangular-3d-models-materials-and-lighting-images)

[Jacob Munkberg](/person/jacob-munkberg), [Jon Hasselgren](/person/jon-hasselgren), Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, [Thomas Müller](/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](/index.php/publication/2021-04_appearance-driven-automatic-3d-model-simplification)

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