People

Jon Hasselgren

Publications

2025

Generative Detail Enhancement for Physically Based Materials
Saeed Hadadan, Benedikt Bitterli, Tizian Zeltner, Jan Novák, Fabrice Rousselle, Jacob Munkberg, Jon Hasselgren, Bart Wronski, Matthias Zwicker
SIGGRAPH 2025

2023

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp, Jun Gao
ACM Transactions On Graphics (SIGGRAPH 2023)
Joint Neural Denoising of Surfaces and Volumes
Nikolai Hofmann, Jon Hasselgren, Jacob Munkberg
I3D 2023

2022

Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
NeurIPS 2022

2021

Extracting Triangular 3D Models, Materials, and Lighting From Images
Jacob Munkberg, Jon Hasselgren, Tianchang Shen, Jun Gao, Wenzheng Chen, Alex Evans, Thomas Müller, Sanja Fidler
CVPR 2022 (Oral)
Appearance-Driven Automatic 3D Model Simplification
Jon Hasselgren, Jacob Munkberg, Jaakko Lehtinen, Miika Aittala, Samuli Laine
EGSR 2021
Interactive Path Tracing and Reconstruction of Sparse Volumes
Nikolai Hofmann, Jon Hasselgren, Petrik Clarberg, Jacob Munkberg
Proceedings of the ACM on Computer Graphics and Interactive Techniques
Best Paper Presentation, i3D 2021

2020

Neural Denoising with Layer Embeddings
Jacob Munkberg, Jon Hasselgren
EGSR 2020
Neural Temporal Adaptive Sampling and Denoising
Jon Hasselgren, Jacob Munkberg, Marco Salvi, Anjul Patney, Aaron Lefohn
Computer Graphics Forum (Proceedings of Eurographics 2020)

2018

Noise2Noise: Learning Image Restoration without Clean Data
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila
Proc. ICML 2018